Weicheng Zhu
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Physiology
- Neurology
- Complementary and alternative medicine top 10%
- Co-authors
- Carlos Fernandez‐GrandaSheng LiuYiqiu ShenKangning LiuNarges RazavianYehua LiRiquan ZhangDuck-chul Lee
- Topics
- Business Process Modeling and Analysis (2 papers)Colorectal Cancer Screening and Detection (2 papers)Pancreatic and Hepatic Oncology Research (2 papers)
- Journals
- Scientific ReportsMedicine & Science in Sports & ExerciseThe American Journal of Gastroenterology
- Partner nations
- United StatesChinaPoland
In The Last Decade
Weicheng Zhu
12 papers receiving 312 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 105
- Computer Vision and Pattern Recognition 70
- Physiology 68
- Neurology 56
- Complementary and alternative medicine 43
Countries citing papers authored by Weicheng Zhu
This map shows the geographic impact of Weicheng Zhu'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 Weicheng Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weicheng Zhu more than expected).
Fields of papers citing papers by Weicheng Zhu
This network shows the impact of papers produced by Weicheng Zhu. 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 Weicheng Zhu. The network helps show where Weicheng Zhu may publish in the future.
Co-authorship network of co-authors of Weicheng Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Weicheng Zhu. A scholar is included among the top collaborators of Weicheng Zhu 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 Weicheng Zhu. Weicheng Zhu 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 | 19 | |
| 3 | 1 | |
| 4 | 90 | |
| 5 | 1 | |
| 6 | 70 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 99 | |
| 11 | 3 | |
| 12 | Object-Oriented and Cooperative Process Modelling in EPOS | 3 |
| 13 | EPOS: object-oriented cooperative process modelling | 22 |
About Weicheng Zhu
Weicheng Zhu is a scholar working on Management Information Systems, Oncology and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 325 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Neurology (56 citations), Complementary and alternative medicine (43 citations) and Health Information Management (23 citations). Weicheng Zhu has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Carlos Fernandez‐Granda, Sheng Liu, Yiqiu Shen, Kangning Liu, Narges Razavian, Yehua Li, Riquan Zhang, Duck-chul Lee, Yanghui Liu and Steven N. Blair. Their work appears in journals such as Scientific Reports, Medicine & Science in Sports & Exercise and The American Journal of Gastroenterology.
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.