Jianchao Tang
- Management Science and Operations Research top 2%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Yuncheng JiangQimai ChenHai LiuYong TangMing XuYuchuan LuoShaojing FuXimeng Liu
- Topics
- Privacy-Preserving Technologies in Data (4 papers)Mobile Crowdsensing and Crowdsourcing (3 papers)Scheduling and Optimization Algorithms (3 papers)
- Cited by
- Management Science and Operations ResearchComputer Science ApplicationsComputational Theory and Mathematics
- Partner nations
- China
In The Last Decade
Jianchao Tang
17 papers receiving 408 citations
Peers
Comparison fields: 5 of 53
- Management Science and Operations Research 268
- Computational Theory and Mathematics 176
- Artificial Intelligence 107
- Computer Science Applications 65
- Industrial and Manufacturing Engineering 59
Countries citing papers authored by Jianchao Tang
This map shows the geographic impact of Jianchao Tang'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 Jianchao Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianchao Tang more than expected).
Fields of papers citing papers by Jianchao Tang
This network shows the impact of papers produced by Jianchao Tang. 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 Jianchao Tang. The network helps show where Jianchao Tang may publish in the future.
Co-authorship network of co-authors of Jianchao Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Jianchao Tang. A scholar is included among the top collaborators of Jianchao Tang 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 Jianchao Tang. Jianchao Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 13 | |
| 5 | 54 | |
| 6 | 16 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 36 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 28 | |
| 15 | 221 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 3 |
About Jianchao Tang
Jianchao Tang is a scholar working on Computer Science Applications, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 18 papers that have together received 440 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Scheduling and Optimization Algorithms (3 papers). The work is most often cited by research in Management Science and Operations Research (268 citations), Computer Science Applications (65 citations) and Computational Theory and Mathematics (176 citations). Jianchao Tang has collaborated with scholars based in China. Frequent co-authors include Yuncheng Jiang, Qimai Chen, Hai Liu, Yong Tang, Ming Xu, Yuchuan Luo, Shaojing Fu, Ximeng Liu, Guoji Zhang and Kai Huang. Their work appears in journals such as European Journal of Operational Research, IEEE Access and Geological Society of America Bulletin.
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.