Keqi Wang
Impact in
- Aquatic Science top 2%
- Seaweed-derived Bioactive Compounds
- Echinoderm biology and ecology
Papers in
-
- Machine Fault Diagnosis Techniques 7
- Advanced Sensor and Control Systems 5
-
- Image Processing and 3D Reconstruction 4
- Co-authors
- Hong Ye (1 shared paper)Xiaoxiong Zeng (1 shared paper)Zhou Chun-hong (1 shared paper)Jun Liu (1 shared paper)Yang Li (3 shared papers)Guohua Wang (3 shared papers)Laijun Sun (5 shared papers)Moustafa Abdel‐Maksoud (3 shared papers)
- Journals
- Journal of Forestry Research (4 papers)Ocean Engineering (2 papers)CATENA (2 papers)International Immunopharmacology (2 papers)Optik (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Keqi Wang
90 papers receiving 951 citations
Peers
Comparison fields: 5 of 140
- Aquatic Science 204
- Drug Discovery 1
- Safety, Risk, Reliability and Quality 53
- Computational Theory and Mathematics 88
- Earth-Surface Processes 36
Countries citing papers authored by Keqi Wang
This map shows the geographic impact of Keqi Wang'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 Keqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keqi Wang more than expected).
Fields of papers citing papers by Keqi Wang
This network shows the impact of papers produced by Keqi Wang. 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 Keqi Wang. The network helps show where Keqi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Keqi Wang, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 303 | |
| 2 | 2021 | 81 | |
| 3 | 2023 | 38 | |
| 4 | 2015 | 37 | |
| 5 | 2021 | 25 | |
| 6 | 2023 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 21 | |
| 9 | 2016 | 19 | |
| 10 | 2020 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2024 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2023 | 15 | |
| 16 | 2015 | 15 | |
| 17 | 2023 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2015 | 13 |
About Keqi Wang
Keqi Wang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Molecular Biology, having authored 99 papers that have together received 986 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (9 papers), Remote Sensing and LiDAR Applications (8 papers), Geology and Paleoclimatology Research (7 papers), Machine Fault Diagnosis Techniques (7 papers), Advanced Mathematical Modeling in Engineering (6 papers), Nonlinear Partial Differential Equations (6 papers), Advanced Sensor and Control Systems (5 papers) and Image Processing and 3D Reconstruction (4 papers). The work is most often cited by research in Aquatic Science (204 citations), Drug Discovery (1 citation), Safety, Risk, Reliability and Quality (53 citations), Computational Theory and Mathematics (88 citations) and Earth-Surface Processes (36 citations). Keqi Wang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Hong Ye, Xiaoxiong Zeng, Zhou Chun-hong, Jun Liu, Yang Li, Guohua Wang, Laijun Sun, Moustafa Abdel‐Maksoud, Yilin Ge and Youjiang Wang. Their work appears in journals such as Journal of Forestry Research, Ocean Engineering, CATENA, International Immunopharmacology and Optik.
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.