Cheng Ji
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Statistical and Nonlinear Physics top 10%
- Computer Networks and Communications
- Co-authors
- Jianxin LiQian LiPhilip S. YuHao PengJian PengYu HeYangqiu SongJia Wu
- Topics
- Advanced Graph Neural Networks (9 papers)Topic Modeling (7 papers)Domain Adaptation and Few-Shot Learning (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cheng Ji
16 papers receiving 363 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 254
- Computer Vision and Pattern Recognition 53
- Information Systems 49
- Statistical and Nonlinear Physics 39
- Computer Networks and Communications 31
Countries citing papers authored by Cheng Ji
This map shows the geographic impact of Cheng 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 Cheng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Ji more than expected).
Fields of papers citing papers by Cheng Ji
This network shows the impact of papers produced by Cheng 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 Cheng Ji. The network helps show where Cheng Ji may publish in the future.
Co-authorship network of co-authors of Cheng Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Ji. A scholar is included among the top collaborators of Cheng Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheng Ji. Cheng Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPTbreakdown → | 178 |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 21 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 4 | |
| 14 | 20 | |
| 15 | 10 | |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 75 |
About Cheng Ji
Cheng Ji is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 18 papers that have together received 370 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (9 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Health Informatics (15 citations), Artificial Intelligence (254 citations) and Statistical and Nonlinear Physics (39 citations). Cheng Ji has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianxin Li, Qian Li, Philip S. Yu, Hao Peng, Jian Peng, Yu He, Yangqiu Song, Jia Wu, Pengtao Xie and Qiben Yan. Their work appears in journals such as Pattern Recognition, Neural Networks and Applied Soft Computing.
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.