Genlin Ji
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Face and Expression Recognition
Papers in ⓘ
-
- Face and Expression Recognition 15
- Neurology 17
- Brain Tumor Detection and Classification 15
- Co-authors
- Yudong Zhang (33 shared papers)Shuihua Wang (32 shared papers)Zhengchao Dong (21 shared papers)Preetha Phillips (15 shared papers)Jiquan Yang (9 shared papers)Jiquan Yang (5 shared papers)Jian Wu (2 shared papers)Qiong Wang (3 shared papers)
- Journals
- Knowledge-Based Systems (3 papers)Shock (3 papers)Pattern Recognition (3 papers)Multimedia Tools and Applications (3 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Genlin Ji
134 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Neurology 999
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.3k
- Urban Studies 228
- Analytical Chemistry 300
Countries citing papers authored by Genlin Ji
This map shows the geographic impact of Genlin Ji's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Genlin Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genlin Ji more than expected).
Fields of papers citing papers by Genlin Ji
This network shows the impact of papers produced by Genlin Ji. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Genlin Ji. The network helps show where Genlin Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Genlin Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications Hit paper breakdown → | 2015 | 817 |
| 2 | Binary PSO with mutation operator for feature selection using decision tree applied to spam detection Hit paper breakdown → | 2014 | 344 |
| 3 | 2014 | 232 | |
| 4 | 2015 | 215 | |
| 5 | 2015 | 167 | |
| 6 | 2015 | 156 | |
| 7 | 2015 | 152 | |
| 8 | 2015 | 149 | |
| 9 | 2015 | 137 | |
| 10 | 2013 | 115 | |
| 11 | 2015 | 105 | |
| 12 | 2016 | 105 | |
| 13 | 2015 | 87 | |
| 14 | 2015 | 86 | |
| 15 | 2009 | 67 | |
| 16 | 2014 | 62 | |
| 17 | 2015 | 49 | |
| 18 | 2013 | 48 | |
| 19 | 2014 | 41 | |
| 20 | 2015 | 39 |
About Genlin Ji
Genlin Ji is a scholar working on Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Signal Processing and Transportation, having authored 145 papers that have together received 4.0k indexed citations. Recurring topics across this work include Data Management and Algorithms (15 papers), Face and Expression Recognition (15 papers), Brain Tumor Detection and Classification (15 papers), Data Mining Algorithms and Applications (13 papers), Anomaly Detection Techniques and Applications (13 papers), Text and Document Classification Technologies (10 papers), Machine Learning and ELM (9 papers) and Network Security and Intrusion Detection (9 papers). The work is most often cited by research in Neurology (999 citations), Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (1.3k citations), Urban Studies (228 citations) and Analytical Chemistry (300 citations). Genlin Ji has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yudong Zhang, Shuihua Wang, Zhengchao Dong, Preetha Phillips, Jiquan Yang, Jiquan Yang, Jian Wu, Qiong Wang, Chun-Mei Feng and Ling Wei. Their work appears in journals such as Knowledge-Based Systems, Shock, Pattern Recognition, Multimedia Tools and Applications and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.