Geng Ji
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Cryptography and Data Security
- Topic Modeling
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- Brain Tumor Detection and Classification
Papers in
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- Domain Adaptation and Few-Shot Learning 5
- Cryptography and Data Security 4
- Anomaly Detection Techniques and Applications 3
- Advanced Graph Neural Networks 3
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- Advanced Neural Network Applications 5
- Medical Image Segmentation Techniques 3
- Co-authors
- Chengtai Cao (4 shared papers)Ting Zhong (4 shared papers)Fan Zhou (3 shared papers)Kunpeng Zhang (3 shared papers)Goce Trajcevski (2 shared papers)Zhiguang Qin (10 shared papers)Jiangping Hu (1 shared paper)Hong Zhu (1 shared paper)
- Journals
- IEEE Access (2 papers)Expert Systems with Applications (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Geng Ji
36 papers receiving 460 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 283
- Neurology 42
- Computer Vision and Pattern Recognition 111
- Computer Networks and Communications 104
- Information Systems 90
Countries citing papers authored by Geng Ji
This map shows the geographic impact of Geng 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 Geng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geng Ji more than expected).
Fields of papers citing papers by Geng Ji
This network shows the impact of papers produced by Geng 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 Geng Ji. The network helps show where Geng Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Geng 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 137 | |
| 2 | 2021 | 63 | |
| 3 | 2014 | 47 | |
| 4 | 2018 | 40 | |
| 5 | 2022 | 26 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2019 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2006 | 7 | |
| 13 | 2015 | 6 | |
| 14 | Detecting corners of text in spam images | 2009 | 5 |
| 15 | Cryptanalysis of attribute-based ring signcryption scheme | 2015 | 5 |
| 16 | 2019 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2011 | 5 | |
| 19 | 2007 | 3 | |
| 20 | 2021 | 3 |
About Geng Ji
Geng Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Neurology, having authored 39 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Cryptography and Data Security (4 papers), Brain Tumor Detection and Classification (4 papers), Magnetic Field Sensors Techniques (3 papers), Medical Image Segmentation Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Artificial Intelligence (283 citations), Neurology (42 citations), Computer Vision and Pattern Recognition (111 citations), Computer Networks and Communications (104 citations) and Information Systems (90 citations). Geng Ji has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Chengtai Cao, Ting Zhong, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Zhiguang Qin, Jiangping Hu, Hong Zhu, Yi Ding and Zhen Qin. Their work appears in journals such as IEEE Access, Expert Systems with Applications, IEEE Transactions on Dependable and Secure Computing, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Neurocomputing.
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.