Tingjun Lei

47 papers receiving 1.0k citations

Tingjun Lei's Hit Papers

Path Planning Based on Deep Reinforcement Learning for Autonomous Underwater Vehicles Under Ocean Current Disturbance 2022 · 180 citations
1800+1+2Years since publication50100150

Peers

Tingjun Lei
Comparison fields: 5 of 111
  • Biomaterials 213
  • Computer Vision and Pattern Recognition 264
  • Biomedical Engineering 367
  • Ocean Engineering 103
  • Aerospace Engineering 145
Replace Dongfang Yang with:
Dongfang Yang China
Baoquan Li China
Yani Cui China
Qin Gao China
Maoli Wang China
Xuesong Chen China
Weiyu Liu China
Qianwen Ye China
Keiji Nishiwaki Japan
Xiangnan Liu China
Tingjun Lei relative to Dongfang Yang China Dongfang Yang's profile →
Citations per field
00.5×3.9×
Dongfang Yang · 1×
Citations per year

Countries citing papers authored by Tingjun Lei

Since Specialization
Citations

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

Fields of papers citing papers by Tingjun Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tingjun Lei, 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 Tingjun Lei Line = papers co-authored together Tingjun Lei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Path Planning Based on Deep Reinforcement Learning for Autonomous Underwater Vehicles Under Ocean Current Disturbance
Hit paper breakdown →
2022180
2 201284
3 201079
4 201072
5 201248
6 201247
7 201246
8 201843
9 201431
10 202330
11 202228
12 202026
13 201426
14 202123
15 201422
16 201421
17 202220
18 202319
19 201418
20 201416

About Tingjun Lei

Tingjun Lei is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Aerospace Engineering, Molecular Biology and Biomaterials, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (21 papers), Nanoplatforms for cancer theranostics (13 papers), Robotics and Sensor-Based Localization (11 papers), Nanoparticle-Based Drug Delivery (7 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Distributed Control Multi-Agent Systems (4 papers), Modular Robots and Swarm Intelligence (4 papers) and Teaching and Learning Programming (4 papers). The work is most often cited by research in Biomaterials (213 citations), Computer Vision and Pattern Recognition (264 citations), Biomedical Engineering (367 citations), Ocean Engineering (103 citations) and Aerospace Engineering (145 citations). Tingjun Lei has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Chaomin Luo, Anthony J. McGoron, Alicia Fernandez-Fernandez, Romila Manchanda, Zhenzhong Chu, Supriya Srinivasan, Yuan Tang, Abhignyan Nagesetti, Zhuming Bi and Gene Eu Jan. Their work appears in journals such as Journal of Photochemistry and Photobiology B Biology, IEEE Transactions on Cognitive and Developmental Systems, Chemical Communications, IEEE Transactions on Consumer Electronics and Nature Communications.

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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