Overview

Dataset statistics

Number of variables5
Number of observations251
Missing cells7
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory41.5 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description한국수목원정원관리원 논문성과(게재연도, 논문 제목, 저널명, 저자, SCI 구분)에 대한 정보 제공 목적의 개방 데이터
URLhttps://www.data.go.kr/data/15102271/fileData.do

Alerts

논문제목(영문) has 7 (2.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:18:13.674032
Analysis finished2023-12-12 13:18:14.281850
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게재연도
Real number (ℝ)

Distinct7
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.1992
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T22:18:14.334215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2018
Q12019
median2020
Q32021
95-th percentile2022
Maximum2023
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4697481
Coefficient of variation (CV)0.0007275263
Kurtosis-1.0221593
Mean2020.1992
Median Absolute Deviation (MAD)1
Skewness-0.17363146
Sum507070
Variance2.1601594
MonotonicityIncreasing
2023-12-12T22:18:14.444782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2022 56
22.3%
2021 53
21.1%
2020 52
20.7%
2019 44
17.5%
2018 37
14.7%
2023 5
 
2.0%
2017 4
 
1.6%
ValueCountFrequency (%)
2017 4
 
1.6%
2018 37
14.7%
2019 44
17.5%
2020 52
20.7%
2021 53
21.1%
2022 56
22.3%
2023 5
 
2.0%
ValueCountFrequency (%)
2023 5
 
2.0%
2022 56
22.3%
2021 53
21.1%
2020 52
20.7%
2019 44
17.5%
2018 37
14.7%
2017 4
 
1.6%

저자(모두기록)
Text

Distinct243
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:18:14.850959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length242
Median length135
Mean length64.816733
Min length8

Characters and Unicode

Total characters16269
Distinct characters227
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)95.6%

Sample

1st row이동혁, 조원범, 최병희, 이정현
2nd row이상현, 강신구, 이호승, 오진아, 한상열
3rd row이상현, 강신구, 한상열
4th row성정원, 김근호
5th row김영수1, 김도연2, 박창수3
ValueCountFrequency (%)
kim 66
 
2.3%
and 45
 
1.6%
44
 
1.6%
kim1 43
 
1.5%
1 42
 
1.5%
lee1 40
 
1.4%
lee 38
 
1.3%
hyun 29
 
1.0%
park 29
 
1.0%
park1 26
 
0.9%
Other values (1198) 2424
85.8%
2023-12-12T22:18:15.408232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2610
 
16.0%
, 1245
 
7.7%
n 1086
 
6.7%
o 829
 
5.1%
e 689
 
4.2%
1 613
 
3.8%
a 594
 
3.7%
u 579
 
3.6%
g 500
 
3.1%
i 454
 
2.8%
Other values (217) 7070
43.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6115
37.6%
Space Separator 2610
16.0%
Uppercase Letter 2269
 
13.9%
Other Letter 2269
 
13.9%
Other Punctuation 1506
 
9.3%
Decimal Number 1226
 
7.5%
Dash Punctuation 271
 
1.7%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 144
 
6.3%
이 126
 
5.6%
정 84
 
3.7%
박 83
 
3.7%
현 77
 
3.4%
영 64
 
2.8%
수 59
 
2.6%
준 54
 
2.4%
진 48
 
2.1%
성 42
 
1.9%
Other values (144) 1488
65.6%
Uppercase Letter
ValueCountFrequency (%)
S 316
13.9%
J 270
11.9%
K 269
11.9%
H 248
10.9%
Y 176
 
7.8%
C 137
 
6.0%
L 132
 
5.8%
P 93
 
4.1%
M 92
 
4.1%
W 88
 
3.9%
Other values (15) 448
19.7%
Lowercase Letter
ValueCountFrequency (%)
n 1086
17.8%
o 829
13.6%
e 689
11.3%
a 594
9.7%
u 579
9.5%
g 500
8.2%
i 454
7.4%
h 251
 
4.1%
m 236
 
3.9%
y 212
 
3.5%
Other values (14) 685
11.2%
Other Punctuation
ValueCountFrequency (%)
, 1245
82.7%
· 87
 
5.8%
* 72
 
4.8%
. 49
 
3.3%
? 17
 
1.1%
† 12
 
0.8%
; 11
 
0.7%
& 8
 
0.5%
# 2
 
0.1%
§ 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 613
50.0%
2 301
24.6%
3 165
 
13.5%
4 76
 
6.2%
5 38
 
3.1%
6 20
 
1.6%
7 5
 
0.4%
8 4
 
0.3%
9 3
 
0.2%
0 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 271
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8384
51.5%
Common 5616
34.5%
Hangul 2269
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 144
 
6.3%
이 126
 
5.6%
정 84
 
3.7%
박 83
 
3.7%
현 77
 
3.4%
영 64
 
2.8%
수 59
 
2.6%
준 54
 
2.4%
진 48
 
2.1%
성 42
 
1.9%
Other values (144) 1488
65.6%
Latin
ValueCountFrequency (%)
n 1086
 
13.0%
o 829
 
9.9%
e 689
 
8.2%
a 594
 
7.1%
u 579
 
6.9%
g 500
 
6.0%
i 454
 
5.4%
S 316
 
3.8%
J 270
 
3.2%
K 269
 
3.2%
Other values (39) 2798
33.4%
Common
ValueCountFrequency (%)
2610
46.5%
, 1245
22.2%
1 613
 
10.9%
2 301
 
5.4%
- 271
 
4.8%
3 165
 
2.9%
· 87
 
1.5%
4 76
 
1.4%
* 72
 
1.3%
. 49
 
0.9%
Other values (14) 127
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13898
85.4%
Hangul 2269
 
13.9%
None 89
 
0.5%
Punctuation 13
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2610
18.8%
, 1245
 
9.0%
n 1086
 
7.8%
o 829
 
6.0%
e 689
 
5.0%
1 613
 
4.4%
a 594
 
4.3%
u 579
 
4.2%
g 500
 
3.6%
i 454
 
3.3%
Other values (59) 4699
33.8%
Hangul
ValueCountFrequency (%)
김 144
 
6.3%
이 126
 
5.6%
정 84
 
3.7%
박 83
 
3.7%
현 77
 
3.4%
영 64
 
2.8%
수 59
 
2.6%
준 54
 
2.4%
진 48
 
2.1%
성 42
 
1.9%
Other values (144) 1488
65.6%
None
ValueCountFrequency (%)
· 87
97.8%
§ 2
 
2.2%
Punctuation
ValueCountFrequency (%)
† 12
92.3%
‡ 1
 
7.7%

논문제목(영문)
Text

MISSING 

Distinct242
Distinct (%)99.2%
Missing7
Missing (%)2.8%
Memory size2.1 KiB
2023-12-12T22:18:15.712132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length258
Median length134.5
Mean length107.2582
Min length38

Characters and Unicode

Total characters26171
Distinct characters85
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)98.4%

Sample

1st rowCharacterization of Two Complete Chloroplast Genomes in the Tribe Gnaphalieae (Asteraceae): Gene Loss or Pseudogenization of trnT-GGU and Implications for Phylogenetic Relationships.
2nd rowProduction of L-rhamnulose, a rare sugar, from L-rhamnose using commercial immobilized glucose isomerase
3rd rowPhysicochemical and Antioxidant Properties of Red Ginseng Starch, a By-Product of the Red Ginseng Industry
4th rowPhysicochemical Characterization of Fermented Rhododendron micranthum Turcz. Extract and Its Biological Activity
5th rowHydrolysis of the outer β-(1,2)-D-glucose linkage at the C-3 position of ginsenosides by a commercial β-galactosidase and its use in the production of minor ginsenosides
ValueCountFrequency (%)
of 290
 
8.1%
and 159
 
4.5%
in 128
 
3.6%
the 122
 
3.4%
korea 67
 
1.9%
a 60
 
1.7%
from 53
 
1.5%
species 44
 
1.2%
for 32
 
0.9%
by 32
 
0.9%
Other values (1317) 2577
72.3%
2023-12-12T22:18:16.257016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3359
12.8%
e 2207
 
8.4%
a 2025
 
7.7%
o 1871
 
7.1%
i 1781
 
6.8%
n 1712
 
6.5%
t 1523
 
5.8%
r 1277
 
4.9%
s 1261
 
4.8%
c 847
 
3.2%
Other values (75) 8308
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20169
77.1%
Space Separator 3359
 
12.8%
Uppercase Letter 2042
 
7.8%
Other Punctuation 245
 
0.9%
Dash Punctuation 114
 
0.4%
Decimal Number 87
 
0.3%
Close Punctuation 73
 
0.3%
Open Punctuation 73
 
0.3%
Other Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2207
10.9%
a 2025
10.0%
o 1871
 
9.3%
i 1781
 
8.8%
n 1712
 
8.5%
t 1523
 
7.6%
r 1277
 
6.3%
s 1261
 
6.3%
c 847
 
4.2%
l 846
 
4.2%
Other values (18) 4819
23.9%
Uppercase Letter
ValueCountFrequency (%)
S 214
 
10.5%
C 204
 
10.0%
P 167
 
8.2%
A 160
 
7.8%
T 124
 
6.1%
E 102
 
5.0%
D 100
 
4.9%
M 96
 
4.7%
K 93
 
4.6%
R 92
 
4.5%
Other values (16) 690
33.8%
Decimal Number
ValueCountFrequency (%)
1 27
31.0%
2 17
19.5%
3 10
 
11.5%
4 7
 
8.0%
0 7
 
8.0%
6 5
 
5.7%
8 4
 
4.6%
7 4
 
4.6%
9 3
 
3.4%
5 3
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 112
45.7%
, 92
37.6%
? 15
 
6.1%
: 14
 
5.7%
& 6
 
2.4%
· 3
 
1.2%
' 2
 
0.8%
/ 1
 
0.4%
Other Letter
ValueCountFrequency (%)
경 1
25.0%
변 1
25.0%
목 1
25.0%
제 1
25.0%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
3359
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Control
ValueCountFrequency (%)
 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22203
84.8%
Common 3956
 
15.1%
Greek 8
 
< 0.1%
Hangul 4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2207
 
9.9%
a 2025
 
9.1%
o 1871
 
8.4%
i 1781
 
8.0%
n 1712
 
7.7%
t 1523
 
6.9%
r 1277
 
5.8%
s 1261
 
5.7%
c 847
 
3.8%
l 846
 
3.8%
Other values (42) 6853
30.9%
Common
ValueCountFrequency (%)
3359
84.9%
- 114
 
2.9%
. 112
 
2.8%
, 92
 
2.3%
) 73
 
1.8%
( 73
 
1.8%
1 27
 
0.7%
2 17
 
0.4%
? 15
 
0.4%
: 14
 
0.4%
Other values (17) 60
 
1.5%
Hangul
ValueCountFrequency (%)
경 1
25.0%
변 1
25.0%
목 1
25.0%
제 1
25.0%
Greek
ValueCountFrequency (%)
β 7
87.5%
α 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26154
99.9%
None 11
 
< 0.1%
Hangul 4
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3359
12.8%
e 2207
 
8.4%
a 2025
 
7.7%
o 1871
 
7.2%
i 1781
 
6.8%
n 1712
 
6.5%
t 1523
 
5.8%
r 1277
 
4.9%
s 1261
 
4.8%
c 847
 
3.2%
Other values (66) 8291
31.7%
None
ValueCountFrequency (%)
β 7
63.6%
· 3
27.3%
α 1
 
9.1%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%
Hangul
ValueCountFrequency (%)
경 1
25.0%
변 1
25.0%
목 1
25.0%
제 1
25.0%

저널명
Text

Distinct152
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:18:16.521557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length44
Mean length19.832669
Min length4

Characters and Unicode

Total characters4978
Distinct characters126
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)45.4%

Sample

1st rowHorticultural Science and Technology
2nd row한국산림휴양학회
3rd row한국산림휴양학회
4th row농업생명과학연구
5th rowBiocatalysis and Biotransformation
ValueCountFrequency (%)
of 73
 
11.1%
journal 68
 
10.4%
and 32
 
4.9%
science 21
 
3.2%
plant 17
 
2.6%
korean 16
 
2.4%
mitochondrial 13
 
2.0%
dna 13
 
2.0%
part 13
 
2.0%
b 13
 
2.0%
Other values (158) 376
57.4%
2023-12-12T22:18:17.009414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 434
 
8.7%
416
 
8.4%
n 356
 
7.2%
a 311
 
6.2%
e 291
 
5.8%
i 281
 
5.6%
r 257
 
5.2%
l 227
 
4.6%
t 217
 
4.4%
c 197
 
4.0%
Other values (116) 1991
40.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3360
67.5%
Other Letter 667
 
13.4%
Uppercase Letter 515
 
10.3%
Space Separator 416
 
8.4%
Other Punctuation 10
 
0.2%
Dash Punctuation 8
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 78
 
11.7%
회 65
 
9.7%
국 62
 
9.3%
한 62
 
9.3%
지 46
 
6.9%
과 26
 
3.9%
물 22
 
3.3%
생 21
 
3.1%
식 19
 
2.8%
원 19
 
2.8%
Other values (62) 247
37.0%
Lowercase Letter
ValueCountFrequency (%)
o 434
12.9%
n 356
10.6%
a 311
9.3%
e 291
8.7%
i 281
8.4%
r 257
 
7.6%
l 227
 
6.8%
t 217
 
6.5%
c 197
 
5.9%
s 138
 
4.1%
Other values (14) 651
19.4%
Uppercase Letter
ValueCountFrequency (%)
J 71
13.8%
P 51
9.9%
B 48
 
9.3%
S 44
 
8.5%
M 40
 
7.8%
E 37
 
7.2%
A 34
 
6.6%
C 25
 
4.9%
F 22
 
4.3%
K 20
 
3.9%
Other values (12) 123
23.9%
Other Punctuation
ValueCountFrequency (%)
& 4
40.0%
. 3
30.0%
, 2
20.0%
· 1
 
10.0%
Space Separator
ValueCountFrequency (%)
416
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3875
77.8%
Hangul 667
 
13.4%
Common 436
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 78
 
11.7%
회 65
 
9.7%
국 62
 
9.3%
한 62
 
9.3%
지 46
 
6.9%
과 26
 
3.9%
물 22
 
3.3%
생 21
 
3.1%
식 19
 
2.8%
원 19
 
2.8%
Other values (62) 247
37.0%
Latin
ValueCountFrequency (%)
o 434
 
11.2%
n 356
 
9.2%
a 311
 
8.0%
e 291
 
7.5%
i 281
 
7.3%
r 257
 
6.6%
l 227
 
5.9%
t 217
 
5.6%
c 197
 
5.1%
s 138
 
3.6%
Other values (36) 1166
30.1%
Common
ValueCountFrequency (%)
416
95.4%
- 8
 
1.8%
& 4
 
0.9%
. 3
 
0.7%
, 2
 
0.5%
· 1
 
0.2%
) 1
 
0.2%
( 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4310
86.6%
Hangul 667
 
13.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 434
 
10.1%
416
 
9.7%
n 356
 
8.3%
a 311
 
7.2%
e 291
 
6.8%
i 281
 
6.5%
r 257
 
6.0%
l 227
 
5.3%
t 217
 
5.0%
c 197
 
4.6%
Other values (43) 1323
30.7%
Hangul
ValueCountFrequency (%)
학 78
 
11.7%
회 65
 
9.7%
국 62
 
9.3%
한 62
 
9.3%
지 46
 
6.9%
과 26
 
3.9%
물 22
 
3.3%
생 21
 
3.1%
식 19
 
2.8%
원 19
 
2.8%
Other values (62) 247
37.0%
None
ValueCountFrequency (%)
· 1
100.0%

구분(SCI_KCI)
Categorical

Distinct7
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
KCI
115 
SCIE
92 
SCOPUS
21 
SCI
15 
Scopus
 
6
Other values (2)
 
2

Length

Max length6
Median length3
Mean length3.6972112
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st rowSCI
2nd rowKCI
3rd rowKCI
4th rowKCI
5th rowSCI

Common Values

ValueCountFrequency (%)
KCI 115
45.8%
SCIE 92
36.7%
SCOPUS 21
 
8.4%
SCI 15
 
6.0%
Scopus 6
 
2.4%
ESCI 1
 
0.4%
SSCI 1
 
0.4%

Length

2023-12-12T22:18:17.190150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:17.321175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kci 115
45.8%
scie 92
36.7%
scopus 27
 
10.8%
sci 15
 
6.0%
esci 1
 
0.4%
ssci 1
 
0.4%

Interactions

2023-12-12T22:18:13.995657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:18:17.418693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게재연도구분(SCI_KCI)
게재연도1.0000.250
구분(SCI_KCI)0.2501.000
2023-12-12T22:18:17.834044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게재연도구분(SCI_KCI)
게재연도1.0000.135
구분(SCI_KCI)0.1351.000

Missing values

2023-12-12T22:18:14.134913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:18:14.244752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

게재연도저자(모두기록)논문제목(영문)저널명구분(SCI_KCI)
02017이동혁, 조원범, 최병희, 이정현Characterization of Two Complete Chloroplast Genomes in the Tribe Gnaphalieae (Asteraceae): Gene Loss or Pseudogenization of trnT-GGU and Implications for Phylogenetic Relationships.Horticultural Science and TechnologySCI
12017이상현, 강신구, 이호승, 오진아, 한상열<NA>한국산림휴양학회KCI
22017이상현, 강신구, 한상열<NA>한국산림휴양학회KCI
32017성정원, 김근호<NA>농업생명과학연구KCI
42018김영수1, 김도연2, 박창수3Production of L-rhamnulose, a rare sugar, from L-rhamnose using commercial immobilized glucose isomeraseBiocatalysis and BiotransformationSCI
52018김영수1, 박지애1, 유상미2, 김도연3, 손미예3, 박창수4Physicochemical and Antioxidant Properties of Red Ginseng Starch, a By-Product of the Red Ginseng IndustryJournal of Chitin ChitosanKCI
62018김민진1, 유상미1, 김도연2, 허태임3, 이준우3, 박지애3, 박창수4, 김영수3Physicochemical Characterization of Fermented Rhododendron micranthum Turcz. Extract and Its Biological ActivityJournal of Life ScienceKCI
72018김영수1, 김도연2, 강동욱3, 박창수4Hydrolysis of the outer β-(1,2)-D-glucose linkage at the C-3 position of ginsenosides by a commercial β-galactosidase and its use in the production of minor ginsenosidesBiocatalysis and BiotransformationSCI
82018박수빈1, 송훈민1?3, 김하나1, 박광훈2, 손호준2, 엄유리2, 박지애1?3, 정진부1.4Anti-Inflammatory Effect of Biji (Soybean curd residue) on LPS-Stimulated RAW264.7 CellsKorean Journal of Plant ResourcesKCI
92018박수빈1, 박광훈2, 엄유리2, 김하나1, 송훈민3, 김나현2, 김현석2, 정진부1?5Wood-cultivated ginseng exerts anti-inflammatory effect in LPS-stimulated RAW264.7 cellsInternational Journal of Biological MacromoleculesSCIE
게재연도저자(모두기록)논문제목(영문)저널명구분(SCI_KCI)
2412022Heesung Woo1, Sang Hyun Lee2, Byeong Joo Park2, Joonsoon Kim1, Chanjoo Park1, Jun Gi Byeon2The impact of climate change on species distribution of Picea jezoensis Carrire in Baekdudaegan using ensemble modellingSensors and materialsSCIE
2422022박병주1, 허태임1, 변준기1, 천광일2Study on Plant Indicator Species of Picea jezoensis (Siebold & Zucc.) Carri?re Forest by Topographic Characters -From China (Baekdu-san) to South Korea-한국환경영향평가학회지KCI
2432022Jung Won Shin1, Yong Hun Chi1, Jung Min Kim1, Ji Won Lee1, Jung Hyun Chae1, Cho Hyun Yang1, Da Seul Baek1, Sang Geul Baek1, Hyun Won Yoon1, Ha Na Lee1, Jeong Min Seo1, Yeoung Ryul Kim1, Jae Ik Nam1, Chang Ho Ahn1*Effects of culture medium composition on the in vitro growth of stem cuttings of Kirengeshoma koreana Nakai, a rare species in KoreaJournal of People Plants EnvironmentSCOPUS
2442022송천영1, 문자영1, 성정원1, 박병선2, 남재익2, 김정민2*Effects of Light Shade, Media and Plant Growth Regulators on Rooting of Veronoca L.Journal of Practical Agriculture and Fisheries ResearchKCI
2452022신정원1, 윤현원1, 횽용식2, 안창호1, 김영률1, 윤새미1, 김정민1, 남재익1*Effects of Bed Soils and Plant Hormones on Growth of Hibiscus syriacus L. CuttingJournal of People Plants EnvironmentSCOPUS
2462023김학구1, 홍용식1, 임윤경1, 윤이슬1, 도기석2, 정찬형3, 이지문3, 노회은1, 강신구1, 김찬범1Estimation of Carbon Stock and Annual CO2 Uptake of Four Species at the Sejong National Arboretum환경영향평가KCI
2472023Eun-Kyeong Han1, Tae-Im Heo2, Gantsetseg Amarsanaa1, Jong-Won Park1 and Jung-Hyun Lee1The complete chloroplast genome sequence of the medicinal plant, Dracocephalum rupestre (Lamiaceae)Mitochondrial DNA Part BSCIE
2482023Bo-Kook Jang a,b,c,1 , Kyungtae Park a,b,1 , Sang Yeob Lee a,b , Hayan Lee a,d , Se-Kyu Song e , Jinki Kim d , Cheol Hee Lee a,b , Ju-Sung Cho a,Comparison of the seed dormancy and germination characteristics of six Clematis species from South KoreaScientia HorticulturaeSCIE
2492023Chang Ho Ahn 1,2 , Jung Yeon Han 2, Hyeong Soo Park 3, Hyun Won Yoon 1, Jung Won Shin 1 , Jeong Min Seo 1, Hana Lee 1, Yeoung Ryul Kim 1, Saeng Geul Baek 1, Jae Ik Nam 1, Jung Min Kim 1 and Yong Eui Choi 2,*Isolation and Expression of Transcription Factors Involved in Somatic Embryo Development by Transcriptome Analysis of Embryogenic Callus of Thuja koraiensisHorticulturaeSCIE
2502023고민규, 김태종ESG Issue Analysis Based on LDA: Focusing on Big Data News from 2009 to 2022디지털콘텐츠학회KCI