Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
30759 | 163 | 23.0 | 47% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
26 | 3 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//PATTERN RECOGNITION//COMPUTER SCIENCE, SOFTWARE ENGINEERING | 111824 |
765 | 2 | IMAGE SEGMENTATION//ACTIVE CONTOURS//SEGMENTATION | 12312 |
30759 | 1 | PULSE COUPLED NEURAL NETWORK//PULSE COUPLED NEURAL NETWORK PCNN//PCNN | 163 |
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 | PULSE COUPLED NEURAL NETWORK | authKW | 3848635 | 26% | 48% | 43 |
2 | PULSE COUPLED NEURAL NETWORK PCNN | authKW | 1311326 | 9% | 50% | 14 |
3 | PCNN | authKW | 693818 | 6% | 37% | 10 |
4 | BIOSCI BIOINFORMAT BIOTECHNOL | address | 421495 | 4% | 38% | 6 |
5 | BINARY IMAGES THINNING | authKW | 374669 | 1% | 100% | 2 |
6 | FRACTIONAL POWER FILTER | authKW | 374669 | 1% | 100% | 2 |
7 | FRACTIONAL POWER FILTERS | authKW | 374669 | 1% | 100% | 2 |
8 | IMAGE FEATURE GENERATION | authKW | 374669 | 1% | 100% | 2 |
9 | PULSE COUPLED NEURON | authKW | 374669 | 1% | 100% | 2 |
10 | NEURAL THRESHOLD | authKW | 337199 | 2% | 60% | 3 |
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 | Computer Science, Artificial Intelligence | 5368 | 47% | 0% | 77 |
2 | Computer Science, Theory & Methods | 364 | 13% | 0% | 22 |
3 | Engineering, Electrical & Electronic | 295 | 26% | 0% | 43 |
4 | Computer Science, Interdisciplinary Applications | 85 | 7% | 0% | 11 |
5 | Imaging Science & Photographic Technology | 68 | 3% | 0% | 5 |
6 | Language & Linguistics | 67 | 3% | 0% | 5 |
7 | Computer Science, Information Systems | 59 | 6% | 0% | 9 |
8 | Instruments & Instrumentation | 59 | 7% | 0% | 11 |
9 | Optics | 58 | 9% | 0% | 15 |
10 | Remote Sensing | 46 | 2% | 0% | 4 |
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 | BIOSCI BIOINFORMAT BIOTECHNOL | 421495 | 4% | 38% | 6 |
2 | AMI GRP | 187334 | 1% | 100% | 1 |
3 | FINANCIAL MANAGEMENT GRP | 187334 | 1% | 100% | 1 |
4 | HEAD ACQUISIT | 187334 | 1% | 100% | 1 |
5 | MICOM | 187334 | 1% | 100% | 1 |
6 | PHARMACEUT ANALYT RD MOLNDAL | 187334 | 1% | 100% | 1 |
7 | PL OPT SCI | 187332 | 1% | 50% | 2 |
8 | THEODORE M HESBURGH LIB | 93666 | 1% | 50% | 1 |
9 | NICS GRP | 62443 | 1% | 33% | 1 |
10 | SPACE STRATEG DEF COMMAND | 62443 | 1% | 33% | 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 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 14596 | 9% | 1% | 15 |
2 | COMPUTATIONAL LINGUISTICS | 6867 | 2% | 1% | 4 |
3 | SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES | 4208 | 2% | 1% | 4 |
4 | NEURAL PROCESSING LETTERS | 3066 | 2% | 0% | 4 |
5 | NEUROCOMPUTING | 2807 | 7% | 0% | 12 |
6 | LIBRARY COLLECTIONS ACQUISITIONS & TECHNICAL SERVICES | 2338 | 1% | 1% | 2 |
7 | COMPUTERS AND ARTIFICIAL INTELLIGENCE | 1715 | 1% | 0% | 2 |
8 | NEURAL NETWORK WORLD | 1594 | 1% | 0% | 2 |
9 | PATTERN ANALYSIS AND APPLICATIONS | 1041 | 1% | 0% | 2 |
10 | JOURNAL OF APPLIED LOGIC | 772 | 1% | 0% | 1 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | PULSE COUPLED NEURAL NETWORK | 3848635 | 26% | 48% | 43 | Search PULSE+COUPLED+NEURAL+NETWORK | Search PULSE+COUPLED+NEURAL+NETWORK |
2 | PULSE COUPLED NEURAL NETWORK PCNN | 1311326 | 9% | 50% | 14 | Search PULSE+COUPLED+NEURAL+NETWORK+PCNN | Search PULSE+COUPLED+NEURAL+NETWORK+PCNN |
3 | PCNN | 693818 | 6% | 37% | 10 | Search PCNN | Search PCNN |
4 | BINARY IMAGES THINNING | 374669 | 1% | 100% | 2 | Search BINARY+IMAGES+THINNING | Search BINARY+IMAGES+THINNING |
5 | FRACTIONAL POWER FILTER | 374669 | 1% | 100% | 2 | Search FRACTIONAL+POWER+FILTER | Search FRACTIONAL+POWER+FILTER |
6 | FRACTIONAL POWER FILTERS | 374669 | 1% | 100% | 2 | Search FRACTIONAL+POWER+FILTERS | Search FRACTIONAL+POWER+FILTERS |
7 | IMAGE FEATURE GENERATION | 374669 | 1% | 100% | 2 | Search IMAGE+FEATURE+GENERATION | Search IMAGE+FEATURE+GENERATION |
8 | PULSE COUPLED NEURON | 374669 | 1% | 100% | 2 | Search PULSE+COUPLED+NEURON | Search PULSE+COUPLED+NEURON |
9 | NEURAL THRESHOLD | 337199 | 2% | 60% | 3 | Search NEURAL+THRESHOLD | Search NEURAL+THRESHOLD |
10 | UNIT LINKING PCNN | 249778 | 1% | 67% | 2 | Search UNIT+LINKING+PCNN | Search UNIT+LINKING+PCNN |
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 | WANG, ZB , MA, YD , CHENG, FY , YANG, LZ , (2010) REVIEW OF PULSE-COUPLED NEURAL NETWORKS.IMAGE AND VISION COMPUTING. VOL. 28. ISSUE 1. P. 5-13 | 30 | 71% | 68 |
2 | CHEN, Y , PARK, SK , MA, Y , ALA, R , (2011) A NEW AUTOMATIC PARAMETER SETTING METHOD OF A SIMPLIFIED PCNN FOR IMAGE SEGMENTATION.IEEE TRANSACTIONS ON NEURAL NETWORKS. VOL. 22. ISSUE 6. P. 880-892 | 18 | 95% | 23 |
3 | SUBASHINI, MM , SAHOO, SK , (2014) PULSE COUPLED NEURAL NETWORKS AND ITS APPLICATIONS.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 41. ISSUE 8. P. 3965 -3974 | 23 | 50% | 18 |
4 | DENG, XY , MA, YD , (2014) PCNN MODEL ANALYSIS AND ITS AUTOMATIC PARAMETERS DETERMINATION IN IMAGE SEGMENTATION AND EDGE DETECTION.CHINESE JOURNAL OF ELECTRONICS. VOL. 23. ISSUE 1. P. 97-103 | 12 | 80% | 2 |
5 | ZHOU, DG , ZHOU, H , GAO, C , GUO, YC , (2016) SIMPLIFIED PARAMETERS MODEL OF PCNN AND ITS APPLICATION TO IMAGE SEGMENTATION.PATTERN ANALYSIS AND APPLICATIONS. VOL. 19. ISSUE 4. P. 939 -951 | 12 | 71% | 1 |
6 | CUI, KB , LI, BS , YUAN, JS , WANG, P , (2014) AN IMPROVED UNIT-LINKING PCNN FOR SEGMENTATION OF INFRARED INSULATOR IMAGE.APPLIED MATHEMATICS & INFORMATION SCIENCES. VOL. 8. ISSUE 6. P. 2997 -3004 | 12 | 75% | 2 |
7 | LI, XJ , MA, YD , FENG, XW , (2013) SELF-ADAPTIVE AUTOWAVE PULSE-COUPLED NEURAL NETWORK FOR SHORTEST-PATH PROBLEM.NEUROCOMPUTING. VOL. 115. ISSUE . P. 63-71 | 9 | 82% | 5 |
8 | GAO, C , ZHOU, DG , GUO, YC , (2014) AN ITERATIVE THRESHOLDING SEGMENTATION MODEL USING A MODIFIED PULSE COUPLED NEURAL NETWORK.NEURAL PROCESSING LETTERS. VOL. 39. ISSUE 1. P. 81-95 | 10 | 67% | 2 |
9 | CHEN, YL , MA, YD , KIM, DH , PARK, SK , (2015) REGION-BASED OBJECT RECOGNITION BY COLOR SEGMENTATION USING A SIMPLIFIED PCNN.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 26. ISSUE 8. P. 1682 -1697 | 13 | 43% | 3 |
10 | ZHOU, DG , GAO, C , GUO, YC , (2014) A COARSE-TO-FINE STRATEGY FOR ITERATIVE SEGMENTATION USING SIMPLIFIED PULSE-COUPLED NEURAL NETWORK.SOFT COMPUTING. VOL. 18. ISSUE 3. P. 557-570 | 10 | 56% | 2 |
Classes with closest relation at Level 1 |