Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
33639 | 122 | 24.6 | 45% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
4 | 4 | ENVIRONMENTAL SCIENCES//GEOSCIENCES, MULTIDISCIPLINARY//METEOROLOGY & ATMOSPHERIC SCIENCES | 1766162 |
14 | 3 | OCEANOGRAPHY//JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS//JOURNAL OF PHYSICAL OCEANOGRAPHY | 127273 |
3235 | 2 | BIODIVERSITY INFORMATICS//RESEARCH DATA//DATA SHARING | 2008 |
33639 | 1 | BRANCH LENGTH SIMILARITY ENTROPY//BRANCH LENGTH SIMILARITY BLS ENTROPY//RADIPHIS | 122 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | BRANCH LENGTH SIMILARITY ENTROPY | authKW | 1042880 | 4% | 83% | 5 |
2 | BRANCH LENGTH SIMILARITY BLS ENTROPY | authKW | 695250 | 4% | 56% | 5 |
3 | RADIPHIS | address | 500583 | 2% | 100% | 2 |
4 | BUTTERFLY IDENTIFICATION | authKW | 450523 | 2% | 60% | 3 |
5 | BRANCHING NETWORK | authKW | 444958 | 3% | 44% | 4 |
6 | MACHINE VIS GRP | address | 404946 | 10% | 13% | 12 |
7 | TACHINA | authKW | 333721 | 2% | 67% | 2 |
8 | ATTRIBUTE CO OCCURRENCE PATTERN DETECTION | authKW | 250292 | 1% | 100% | 1 |
9 | AUTOMATED INSECT IDENTIFICATION | authKW | 250292 | 1% | 100% | 1 |
10 | AUTOMATED INSPECTION AND ASSEMBLY | authKW | 250292 | 1% | 100% | 1 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Agriculture, Multidisciplinary | 590 | 15% | 0% | 18 |
2 | Entomology | 567 | 16% | 0% | 20 |
3 | Computer Science, Artificial Intelligence | 559 | 18% | 0% | 22 |
4 | Agricultural Engineering | 391 | 7% | 0% | 9 |
5 | Computer Science, Interdisciplinary Applications | 121 | 9% | 0% | 11 |
6 | COMPUTER APPLICATIONS & CYBERNETICS | 94 | 1% | 0% | 1 |
7 | Engineering, Electrical & Electronic | 81 | 17% | 0% | 21 |
8 | Engineering, Geological | 47 | 2% | 0% | 3 |
9 | Computer Science, Cybernetics | 34 | 2% | 0% | 2 |
10 | Computer Science, Software Engineering | 30 | 4% | 0% | 5 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | RADIPHIS | 500583 | 2% | 100% | 2 |
2 | MACHINE VIS GRP | 404946 | 10% | 13% | 12 |
3 | DIRECT SACLAY | 250292 | 1% | 100% | 1 |
4 | GENECTIS EVOLUTIONARY BIOL | 250292 | 1% | 100% | 1 |
5 | INNOVAT PLIC | 250292 | 1% | 100% | 1 |
6 | LGC CIVIL ENGN | 250292 | 1% | 100% | 1 |
7 | NUFFIELD NHS TRUST | 250292 | 1% | 100% | 1 |
8 | SPENALO ROBOT TECHNOL | 250292 | 1% | 100% | 1 |
9 | UNITE RECH INTEGREES | 250292 | 1% | 100% | 1 |
10 | ZAC PORTES DE RIOM | 250292 | 1% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | JOURNAL OF ASIA-PACIFIC ENTOMOLOGY | 8891 | 4% | 1% | 5 |
2 | APPLIED AND COMPUTATIONAL MATHEMATICS | 8368 | 2% | 1% | 3 |
3 | COMPUTERS AND ELECTRONICS IN AGRICULTURE | 6514 | 7% | 0% | 8 |
4 | BIOSYSTEMS ENGINEERING | 3862 | 5% | 0% | 6 |
5 | ECOLOGICAL INFORMATICS | 3212 | 2% | 0% | 3 |
6 | BULLETIN OF ENTOMOLOGICAL RESEARCH | 2472 | 4% | 0% | 5 |
7 | SYSTEMATIC ENTOMOLOGY | 1989 | 2% | 0% | 3 |
8 | ORIENTAL INSECTS | 1590 | 2% | 0% | 2 |
9 | INTELLIGENT AUTOMATION AND SOFT COMPUTING | 1220 | 2% | 0% | 2 |
10 | REAL-TIME IMAGING | 1190 | 1% | 0% | 1 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | KANG, SH , CHO, JH , LEE, SH , (2014) IDENTIFICATION OF BUTTERFLY BASED ON THEIR SHAPES WHEN VIEWED FROM DIFFERENT ANGLES USING AN ARTIFICIAL NEURAL NETWORK.JOURNAL OF ASIA-PACIFIC ENTOMOLOGY. VOL. 17. ISSUE 2. P. 143-149 | 13 | 68% | 2 |
2 | DING, WG , TAYLOR, G , (2016) AUTOMATIC MOTH DETECTION FROM TRAP IMAGES FOR PEST MANAGEMENT.COMPUTERS AND ELECTRONICS IN AGRICULTURE. VOL. 123. ISSUE . P. 17 -28 | 14 | 58% | 0 |
3 | WANG, JN , JI, LQ , LIANG, AP , YUAN, DC , (2012) THE IDENTIFICATION OF BUTTERFLY FAMILIES USING CONTENT-BASED IMAGE RETRIEVAL.BIOSYSTEMS ENGINEERING. VOL. 111. ISSUE 1. P. 24-32 | 7 | 88% | 9 |
4 | YAO, Q , LV, J , LIU, QJ , DIAO, GQ , YANG, BJ , CHEN, HM , TANG, J , (2012) AN INSECT IMAGING SYSTEM TO AUTOMATE RICE LIGHT-TRAP PEST IDENTIFICATION.JOURNAL OF INTEGRATIVE AGRICULTURE. VOL. 11. ISSUE 6. P. 978 -985 | 7 | 88% | 7 |
5 | HAN, RZ , HE, Y , LIU, F , (2012) FEASIBILITY STUDY ON A PORTABLE FIELD PEST CLASSIFICATION SYSTEM DESIGN BASED ON DSP AND 3G WIRELESS COMMUNICATION TECHNOLOGY.SENSORS. VOL. 12. ISSUE 3. P. 3118-3130 | 7 | 70% | 1 |
6 | KANG, SH , SONG, SH , LEE, SH , (2012) IDENTIFICATION OF BUTTERFLY SPECIES WITH A SINGLE NEURAL NETWORK SYSTEM.JOURNAL OF ASIA-PACIFIC ENTOMOLOGY. VOL. 15. ISSUE 3. P. 431-435 | 8 | 57% | 5 |
7 | WEN, CL , WU, DX , HU, HS , PAN, W , (2015) POSE ESTIMATION-DEPENDENT IDENTIFICATION METHOD FOR FIELD MOTH IMAGES USING DEEP LEARNING ARCHITECTURE.BIOSYSTEMS ENGINEERING. VOL. 136. ISSUE . P. 117 -128 | 8 | 53% | 1 |
8 | DAVIES, ER , (2003) DESIGN OF REAL-TIME ALGORITHMS FOR FOOD AND CEREALS INSPECTION.IMAGING SCIENCE JOURNAL. VOL. 51. ISSUE 2. P. 63-78 | 8 | 67% | 3 |
9 | FEDOR, P , PENA-MENDEZ, EM , KUCHARCZYK, H , VANHARA, J , HAVEL, J , DORICOVA, M , PROKOP, P , (2014) ARTIFICIAL NEURAL NETWORKS IN ONLINE SEMIAUTOMATED PEST DISCRIMINABILITY: AN APPLIED CASE WITH 2 THRIPS SPECIES.TURKISH JOURNAL OF AGRICULTURE AND FORESTRY. VOL. 38. ISSUE 1. P. 111 -124 | 10 | 36% | 1 |
10 | LIU, ZY , GAO, JF , YANG, GG , ZHANG, H , HE, Y , (2016) LOCALIZATION AND CLASSIFICATION OF PADDY FIELD PESTS USING A SALIENCY MAP AND DEEP CONVOLUTIONAL NEURAL NETWORK.SCIENTIFIC REPORTS. VOL. 6. ISSUE . P. - | 9 | 38% | 0 |
Classes with closest relation at Level 1 |