Jiankun Wang

145 papers receiving 2.5k citations

Jiankun Wang's Hit Papers

Neural RRT*: Learning-Based Optimal Path Planning 2020 · 372 citations
3720+2+4Years since publication100200300

Peers

Jiankun Wang
Comparison fields: 5 of 156
  • Computer Vision and Pattern Recognition 1.4k
  • Aerospace Engineering 837
  • Control and Systems Engineering 581
  • Automotive Engineering 297
  • Ocean Engineering 208
Replace Kai Huang with:
Kai Huang China
Yusuke Tamura Japan
Rui Fan China
Yuan F. Zheng United States
Chenfeng Xu China
Ju Liu China
Tao Kong China
Jianbo Su China
Rong Xiong China
Kuo‐Chin Fan Taiwan
Jiankun Wang relative to Kai Huang China Kai Huang's profile →
Citations per field
00.5×1.5×2.3×
Kai Huang · 1×
Citations per year

Countries citing papers authored by Jiankun Wang

Since Specialization
Citations

This map shows the geographic impact of Jiankun 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 Jiankun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiankun Wang more than expected).

Fields of papers citing papers by Jiankun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiankun 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 Jiankun Wang. The network helps show where Jiankun Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jiankun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiankun Wang Line = papers co-authored together Jiankun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neural RRT*: Learning-Based Optimal Path Planning
Hit paper breakdown →
2020372
2 2021131
3 2020108
4 2020107
5 202272
6 202072
7 201862
8 201661
9 201859
10 202157
11 201749
12 201847
13 202147
14 202145
15 202143
16 201841
17 202240
18 202440
19 202139
20 201937

About Jiankun Wang

Jiankun Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 172 papers that have together received 2.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (58 papers), Robotics and Sensor-Based Localization (39 papers), Robot Manipulation and Learning (14 papers), Control and Dynamics of Mobile Robots (9 papers), Autonomous Vehicle Technology and Safety (8 papers), High-Temperature Coating Behaviors (8 papers), Modular Robots and Swarm Intelligence (7 papers) and Reinforcement Learning in Robotics (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Aerospace Engineering (837 citations), Control and Systems Engineering (581 citations), Automotive Engineering (297 citations) and Ocean Engineering (208 citations). Jiankun Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Max Q.‐H. Meng, Wenzheng Chi, Chaoqun Wang, Chenming Li, Baopu Li, Oussama Khatib, Guodong Chen, Tianyi Zhang, Fei Meng and Han Ma. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Intelligent Vehicles, Robotica, Journal of Pharmaceutical and Biomedical Analysis and IEEE Robotics and Automation Letters.

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.

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