Jinkun Wang
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Advancements in Battery Materials 11
- Advanced Battery Materials and Technologies 10
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- Target Tracking and Data Fusion in Sensor Networks 6
- Gaussian Processes and Bayesian Inference 6
- Co-authors
- Brendan Englot (17 shared papers)Fanfei Chen (5 shared papers)Tixiao Shan (7 shared papers)Kuanjun Fang (13 shared papers)Shuai Zhang (12 shared papers)Xiran Qiao (11 shared papers)Shi Bai (4 shared papers)Xiuming Liu (10 shared papers)
- Journals
- Industrial Crops and Products (5 papers)Progress in Organic Coatings (2 papers)Advanced Functional Materials (2 papers)Small Methods (2 papers)Batteries & Supercaps (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jinkun Wang
84 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 151
- Computer Vision and Pattern Recognition 298
- Aerospace Engineering 302
- Developmental Neuroscience 47
- Building and Construction 141
- Automotive Engineering 117
Countries citing papers authored by Jinkun Wang
This map shows the geographic impact of Jinkun 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 Jinkun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinkun Wang more than expected).
Fields of papers citing papers by Jinkun Wang
This network shows the impact of papers produced by Jinkun 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 Jinkun Wang. The network helps show where Jinkun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinkun 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 89 | |
| 2 | 2020 | 85 | |
| 3 | 2023 | 78 | |
| 4 | 2014 | 61 | |
| 5 | 2020 | 53 | |
| 6 | 2020 | 52 | |
| 7 | 2014 | 47 | |
| 8 | 2016 | 47 | |
| 9 | 2018 | 45 | |
| 10 | 2013 | 41 | |
| 11 | 2019 | 34 | |
| 12 | 2023 | 33 | |
| 13 | 2014 | 32 | |
| 14 | 2019 | 29 | |
| 15 | Bayesian Generalized Kernel Inference for Terrain Traversability Mapping | 2018 | 27 |
| 16 | 2022 | 27 | |
| 17 | 2023 | 26 | |
| 18 | 2022 | 26 | |
| 19 | 2023 | 24 | |
| 20 | 2022 | 23 |
About Jinkun Wang
Jinkun Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering, Building and Construction and Automotive Engineering, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Dyeing and Modifying Textile Fibers (13 papers), Robotics and Sensor-Based Localization (13 papers), Advancements in Battery Materials (11 papers), Advanced Battery Materials and Technologies (10 papers), Advanced Battery Technologies Research (8 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (298 citations), Aerospace Engineering (302 citations), Developmental Neuroscience (47 citations), Building and Construction (141 citations) and Automotive Engineering (117 citations). Jinkun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Brendan Englot, Fanfei Chen, Tixiao Shan, Kuanjun Fang, Shuai Zhang, Xiran Qiao, Shi Bai, Xiuming Liu, Kevin Doherty and Yanjie Liang. Their work appears in journals such as Industrial Crops and Products, Progress in Organic Coatings, Advanced Functional Materials, Small Methods and Batteries & Supercaps.
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.