Tingjun Lei

1.6k total citations · 1 hit paper
56 papers, 1.0k citations indexed

About

Tingjun Lei is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Tingjun Lei has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 17 papers in Biomedical Engineering and 13 papers in Aerospace Engineering. Recurrent topics in Tingjun Lei's work include Robotic Path Planning Algorithms (21 papers), Nanoplatforms for cancer theranostics (13 papers) and Robotics and Sensor-Based Localization (11 papers). Tingjun Lei is often cited by papers focused on Robotic Path Planning Algorithms (21 papers), Nanoplatforms for cancer theranostics (13 papers) and Robotics and Sensor-Based Localization (11 papers). Tingjun Lei collaborates with scholars based in United States, China and Taiwan. Tingjun Lei's co-authors include Chaomin Luo, Alicia Fernandez-Fernandez, Anthony J. McGoron, Romila Manchanda, Zhenzhong Chu, Supriya Srinivasan, Yuan Tang, Abhignyan Nagesetti, Zhuming Bi and Gene Eu Jan and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tingjun Lei

47 papers receiving 1.0k citations

Hit Papers

Path Planning Based on Deep Reinforcement Learning for Au... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tingjun Lei United States 19 367 264 250 213 145 56 1.0k
Dongfang Yang China 17 512 1.4× 215 0.8× 122 0.5× 162 0.8× 37 0.3× 49 1.3k
Qin Gao China 15 1.1k 2.9× 57 0.2× 287 1.1× 217 1.0× 104 0.7× 26 1.7k
Maoli Wang China 18 122 0.3× 94 0.4× 96 0.4× 66 0.3× 67 0.5× 84 1.1k
Xuesong Chen China 17 174 0.5× 399 1.5× 147 0.6× 81 0.4× 101 0.7× 106 1.3k
Ye Jin China 21 106 0.3× 45 0.2× 342 1.4× 53 0.2× 161 1.1× 141 1.9k
Lipeng Zhu China 36 572 1.6× 104 0.4× 275 1.1× 176 0.8× 2.1k 14.6× 126 4.5k
Yani Cui China 14 163 0.4× 58 0.2× 99 0.4× 208 1.0× 29 0.2× 27 511
Keiji Nishiwaki Japan 27 1.4k 3.8× 544 2.1× 153 0.6× 72 0.3× 248 1.7× 90 2.2k
Chunlei Liu China 18 246 0.7× 189 0.7× 156 0.6× 30 0.1× 111 0.8× 72 908
Qianwen Ye China 16 78 0.2× 35 0.1× 169 0.7× 41 0.2× 104 0.7× 64 1.0k

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-authorship network of co-authors of Tingjun Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Tingjun Lei. A scholar is included among the top collaborators of Tingjun Lei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tingjun Lei. Tingjun Lei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Short, D., Tingjun Lei, Lantao Liu, Chaomin Luo, & Erfu Yang. (2025). A Neural Network Approach to Image-Based Navigation and Localization. 1–7.
2.
Hicks, Matthew, Tingjun Lei, Chaomin Luo, Daniel W. Carruth, & Zhuming Bi. (2025). A Bio-Inspired Goal-Directed Cognitive Map Model for Robot Navigation and Exploration. IEEE Transactions on Cognitive and Developmental Systems. 17(5). 1125–1140. 2 indexed citations
3.
Lei, Tingjun, et al.. (2024). Digital twin‐based multi‐objective autonomous vehicle navigation approach as applied in infrastructure construction. SHILAP Revista de lepidopterología. 6(2). 8 indexed citations
4.
Lei, Tingjun, et al.. (2024). A Hybrid Pedagogy through Topical Guide Objective to Enhance Student Learning in MIPS Instruction Set Design. Papers on Engineering Education Repository (American Society for Engineering Education).
7.
Lei, Tingjun, et al.. (2024). Optimal Multi-target Navigation via Graph-based Algorithms in Complex Environments. 1–6. 2 indexed citations
8.
Lei, Tingjun, et al.. (2024). Informed sampling space driven robot informative path planning. Robotics and Autonomous Systems. 175. 104656–104656. 15 indexed citations
9.
Lei, Tingjun, et al.. (2024). Macrophage manufacturing and engineering with 5′-Cap1 and N1-methylpseudouridine-modified mRNA. Molecular Therapy — Methods & Clinical Development. 32(3). 101307–101307.
10.
Lei, Tingjun, et al.. (2023). A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning. Sensors. 23(11). 5103–5103. 19 indexed citations
11.
Lei, Tingjun, et al.. (2023). Sensor-based multi-waypoint autonomous robot navigation with graph-based models. 6–6. 5 indexed citations
12.
Chu, Zhenzhong, et al.. (2022). Path Planning Based on Deep Reinforcement Learning for Autonomous Underwater Vehicles Under Ocean Current Disturbance. IEEE Transactions on Intelligent Vehicles. 8(1). 108–120. 180 indexed citations breakdown →
13.
Lei, Tingjun, et al.. (2022). An informative planning-based multi-layer robot navigation system as applied in a poultry barn. 2(4). 313–332. 13 indexed citations
14.
Deng, Li, Jingli Zhang, Xudong Zhang, et al.. (2014). A Distinct Expression Pattern of Cyclin K in Mammalian Testes Suggests a Functional Role in Spermatogenesis. PLoS ONE. 9(7). e101539–e101539. 16 indexed citations
15.
Dai, Qian, Li Deng, Tingjun Lei, et al.. (2014). Primordial Dwarfism Gene Maintains Lin28 Expression to Safeguard Embryonic Stem Cells from Premature Differentiation. Cell Reports. 7(3). 735–746. 22 indexed citations
16.
Fernandez-Fernandez, Alicia, et al.. (2014). Covalent IR820-PEG-diamine nanoconjugates for theranostic applications in cancer. International Journal of Nanomedicine. 9. 4631–4631. 31 indexed citations
17.
Fernandez-Fernandez, Alicia, et al.. (2013). Covalent IR820-PEG diamine conjugates: characterization and in vivo biodistribution. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8596. 859605–859605. 4 indexed citations
18.
Manchanda, Romila, et al.. (2012). Nanoplexes for Cell Imaging and Hyperthermia: <I>In Vitro</I> Studies. Journal of Biomedical Nanotechnology. 8(4). 686–694. 5 indexed citations
19.
Tang, Yuan, Tingjun Lei, Romila Manchanda, et al.. (2010). Simultaneous Delivery of Chemotherapeutic and Thermal-Optical Agents to Cancer Cells by a Polymeric (PLGA) Nanocarrier: An In Vitro Study. Pharmaceutical Research. 27(10). 2242–2253. 72 indexed citations
20.
Lei, Tingjun, Supriya Srinivasan, Yuan Tang, et al.. (2010). Comparing cellular uptake and cytotoxicity of targeted drug carriers in cancer cell lines with different drug resistance mechanisms. Nanomedicine Nanotechnology Biology and Medicine. 7(3). 324–332. 79 indexed citations

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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