Jian Cheng
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Artificial Intelligence top 5%
- Aerospace Engineering top 10%
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Haijun LiuHongsheng LiYanzhou SuWang FengTing LiuHui ZhouShiguang WangYang Peng
- Topics
- Advanced Neural Network Applications (21 papers)Advanced Image and Video Retrieval Techniques (20 papers)Remote-Sensing Image Classification (17 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jian Cheng
92 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 661
- Media Technology 292
- Artificial Intelligence 203
- Aerospace Engineering 143
- Renewable Energy, Sustainability and the Environment 116
Countries citing papers authored by Jian Cheng
This map shows the geographic impact of Jian Cheng'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 Jian Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Cheng more than expected).
Fields of papers citing papers by Jian Cheng
This network shows the impact of papers produced by Jian Cheng. 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 Jian Cheng. The network helps show where Jian Cheng may publish in the future.
Co-authorship network of co-authors of Jian Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Cheng. A scholar is included among the top collaborators of Jian Cheng 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 Jian Cheng. Jian Cheng 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 | 0 | |
| 5 | 7 | |
| 6 | 47 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 13 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 22 | |
| 14 | 53 | |
| 15 | 2 | |
| 16 | 29 | |
| 17 | Adaptive Immune Clonal Selection Cultural Algorithm | 2 |
| 18 | A novel adaptive chaotic cultural algorithm | 2 |
| 19 | Robust infrared target tracking with Kalman prediction sampling and spatiogram representation | 0 |
| 20 | 0 |
About Jian Cheng
Jian Cheng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Fuel Technology, having authored 104 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (21 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Remote-Sensing Image Classification (17 papers). The work is most often cited by research in Media Technology (292 citations), Computer Vision and Pattern Recognition (661 citations) and Catalysis (58 citations). Jian Cheng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Haijun Liu, Hongsheng Li, Yanzhou Su, Wang Feng, Wang Feng, Ting Liu, Hui Zhou, Shiguang Wang, Yang Peng and Xiaogang Wang. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.
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.