Caiming Zhang
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Industrial and Manufacturing Engineering top 2%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Yang LuYong ChenYunfeng ZhangXuemei LiFangxun BaoQiang GuoXiang MaПэйдэ Лю
- Topics
- Stock Market Forecasting Methods (18 papers)Energy Load and Power Forecasting (11 papers)Time Series Analysis and Forecasting (9 papers)
- Cited by
- Health InformaticsManagement Science and Operations ResearchIndustrial and Manufacturing Engineering
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Caiming Zhang
69 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 427
- Management Science and Operations Research 378
- Industrial and Manufacturing Engineering 291
- Electrical and Electronic Engineering 277
- Computer Vision and Pattern Recognition 272
Countries citing papers authored by Caiming Zhang
This map shows the geographic impact of Caiming Zhang'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 Caiming Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caiming Zhang more than expected).
Fields of papers citing papers by Caiming Zhang
This network shows the impact of papers produced by Caiming Zhang. 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 Caiming Zhang. The network helps show where Caiming Zhang may publish in the future.
Co-authorship network of co-authors of Caiming Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Caiming Zhang. A scholar is included among the top collaborators of Caiming Zhang 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 Caiming Zhang. Caiming Zhang 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 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 31 | |
| 9 | 19 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 32 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 4 | |
| 20 | The Edge Optimization Disposal in Quadrangular Meshes Generation Process | 0 |
About Caiming Zhang
Caiming Zhang is a scholar working on Computational Mathematics, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (18 papers), Energy Load and Power Forecasting (11 papers) and Time Series Analysis and Forecasting (9 papers). The work is most often cited by research in Health Informatics (57 citations), Management Science and Operations Research (378 citations) and Industrial and Manufacturing Engineering (291 citations). Caiming Zhang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yang Lu, Yong Chen, Yunfeng Zhang, Xuemei Li, Fangxun Bao, Qiang Guo, Xiang Ma, Пэйдэ Лю, Qiuyue Zhang and Dazhi Chong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Expert Systems with 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.