Junli Wu
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Research top 10%
Papers in
- Co-authors
- Peng Shi (3 shared papers)Huijun Gao (2 shared papers)Yi Miao (45 shared papers)Kuirong Jiang (45 shared papers)Wentao Gao (45 shared papers)Jishu Wei (43 shared papers)Yunpeng Peng (10 shared papers)Zekuan Xu (8 shared papers)
- Journals
- Pancreatology (8 papers)Advances in Engineering Software (4 papers)World Journal of Surgery (3 papers)Langenbeck s Archives of Surgery (3 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junli Wu
89 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 131
- Oncology 647
- Cancer Research 199
- Control and Systems Engineering 313
- Immunology 256
- Computer Networks and Communications 254
Countries citing papers authored by Junli Wu
This map shows the geographic impact of Junli Wu'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 Junli Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Wu more than expected).
Fields of papers citing papers by Junli Wu
This network shows the impact of papers produced by Junli Wu. 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 Junli Wu. The network helps show where Junli Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 274 | |
| 2 | 2013 | 140 | |
| 3 | 2014 | 98 | |
| 4 | 2017 | 87 | |
| 5 | 2014 | 79 | |
| 6 | 2019 | 72 | |
| 7 | 2020 | 67 | |
| 8 | 2020 | 63 | |
| 9 | 2012 | 53 | |
| 10 | 2018 | 52 | |
| 11 | 2011 | 51 | |
| 12 | 2013 | 49 | |
| 13 | 2017 | 44 | |
| 14 | 2009 | 43 | |
| 15 | 2018 | 42 | |
| 16 | 2013 | 40 | |
| 17 | 2020 | 39 | |
| 18 | 2018 | 38 | |
| 19 | 2021 | 38 | |
| 20 | 2023 | 32 |
About Junli Wu
Junli Wu is a scholar working on Oncology, Surgery, Molecular Biology, Computational Mechanics and Epidemiology, having authored 93 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (32 papers), Advanced Numerical Analysis Techniques (9 papers), Pancreatitis Pathology and Treatment (8 papers), Neuroendocrine Tumor Research Advances (7 papers), 3D Shape Modeling and Analysis (6 papers), Manufacturing Process and Optimization (4 papers), Fault Detection and Control Systems (4 papers) and Stability and Control of Uncertain Systems (4 papers). The work is most often cited by research in Oncology (647 citations), Cancer Research (199 citations), Control and Systems Engineering (313 citations), Immunology (256 citations) and Computer Networks and Communications (254 citations). Junli Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peng Shi, Huijun Gao, Yi Miao, Kuirong Jiang, Wentao Gao, Jishu Wei, Yunpeng Peng, Zekuan Xu, Gang Hu and Yi Zhu. Their work appears in journals such as Pancreatology, Advances in Engineering Software, World Journal of Surgery, Langenbeck s Archives of Surgery and Medicine.
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.