Pan Zhang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Strategy and Management top 10%
- Co-authors
- Ting ZhangFang WenBo ZhangDong ChenYong WangYong GengRaymond P. CôtéTsuyoshi Fujita
- Topics
- Advancements in Battery Materials (6 papers)Advanced Battery Materials and Technologies (4 papers)Membrane Separation Technologies (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionChemical Engineering Journal
In The Last Decade
Pan Zhang
59 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 336
- Computer Vision and Pattern Recognition 315
- Biomedical Engineering 203
- Electrical and Electronic Engineering 173
- Strategy and Management 125
Countries citing papers authored by Pan Zhang
This map shows the geographic impact of Pan 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 Pan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Zhang more than expected).
Fields of papers citing papers by Pan Zhang
This network shows the impact of papers produced by Pan 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 Pan Zhang. The network helps show where Pan Zhang may publish in the future.
Co-authorship network of co-authors of Pan Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Pan Zhang. A scholar is included among the top collaborators of Pan 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 Pan Zhang. Pan 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 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 23 | |
| 7 | 0 | |
| 8 | 14 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 6 | |
| 13 | 70 | |
| 14 | 15 | |
| 15 | 22 | |
| 16 | 21 | |
| 17 | 15 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | 126 |
About Pan Zhang
Pan Zhang is a scholar working on Space and Planetary Science, Computer Vision and Pattern Recognition and General Dentistry, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advancements in Battery Materials (6 papers), Advanced Battery Materials and Technologies (4 papers) and Membrane Separation Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Artificial Intelligence (336 citations) and Industrial and Manufacturing Engineering (103 citations). Pan Zhang has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Ting Zhang, Fang Wen, Bo Zhang, Dong Chen, Yong Wang, Yong Geng, Raymond P. Côté, Tsuyoshi Fujita, Siwei Xiong and Yu Xia. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Chemical Engineering Journal.
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.