Longsheng Jiang

469 total citations · 1 hit paper
12 papers, 206 citations indexed

About

Longsheng Jiang is a scholar working on Social Psychology, General Decision Sciences and Artificial Intelligence. According to data from OpenAlex, Longsheng Jiang has authored 12 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Social Psychology, 5 papers in General Decision Sciences and 4 papers in Artificial Intelligence. Recurrent topics in Longsheng Jiang's work include Human-Automation Interaction and Safety (8 papers), Decision-Making and Behavioral Economics (5 papers) and Multi-Criteria Decision Making (3 papers). Longsheng Jiang is often cited by papers focused on Human-Automation Interaction and Safety (8 papers), Decision-Making and Behavioral Economics (5 papers) and Multi-Criteria Decision Making (3 papers). Longsheng Jiang collaborates with scholars based in United States and China. Longsheng Jiang's co-authors include Yue Wang, Dong Chen, Zhaojian Li, Yongqiang Wang, Fangjian Li, Jintao Li, Tao Liu, Jia Liu, Zhiwei Hu and Yunan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Longsheng Jiang

12 papers receiving 199 citations

Hit Papers

Deep Multi-Agent Reinforcement Learning for Highway On-Ra... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longsheng Jiang United States 7 88 73 52 48 23 12 206
Karsten Lemmer Germany 7 62 0.7× 84 1.2× 28 0.5× 32 0.7× 25 1.1× 47 196
Kaige Tan Sweden 8 81 0.9× 105 1.4× 42 0.8× 29 0.6× 16 0.7× 21 286
Chuan Xu China 10 40 0.5× 52 0.7× 14 0.3× 39 0.8× 13 0.6× 36 262
Erwin de Gelder Netherlands 11 104 1.2× 244 3.3× 50 1.0× 49 1.0× 6 0.3× 19 321
Daocheng Fu China 8 76 0.9× 75 1.0× 54 1.0× 17 0.4× 7 0.3× 16 253
Yujie Li United States 6 172 2.0× 197 2.7× 40 0.8× 33 0.7× 7 0.3× 9 323
Olaf Op den Camp Netherlands 10 72 0.8× 159 2.2× 27 0.5× 52 1.1× 5 0.2× 17 231
Paul Ha United States 8 152 1.7× 152 2.1× 37 0.7× 17 0.4× 6 0.3× 11 275
Xinyu Jiao China 8 92 1.0× 163 2.2× 44 0.8× 23 0.5× 5 0.2× 17 289
Zhishuai Yin China 9 113 1.3× 149 2.0× 27 0.5× 19 0.4× 20 0.9× 31 287

Countries citing papers authored by Longsheng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Longsheng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longsheng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Longsheng Jiang. A scholar is included among the top collaborators of Longsheng Jiang 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 Longsheng Jiang. Longsheng Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Jiang, Longsheng, et al.. (2025). From sensory to perceptual manifolds: The twist of neural geometry. Science Advances. 11(50). eadv0431–eadv0431. 1 indexed citations
2.
Wang, Yue, et al.. (2023). Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications. SHILAP Revista de lepidopterología. 3. 58–86. 11 indexed citations
3.
Chen, Dong, et al.. (2023). Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic. IEEE Transactions on Intelligent Transportation Systems. 24(11). 11623–11638. 104 indexed citations breakdown →
4.
Jiang, Longsheng & Yue Wang. (2022). Risk-aware Decision-making in Human-multi-robot Collaborative Search: A Regret Theory Approach. Journal of Intelligent & Robotic Systems. 105(2). 6 indexed citations
5.
Jiang, Longsheng, Dong Chen, Zhaojian Li, & Yue Wang. (2022). Risk Representation, Perception, and Propensity in an Integrated Human Lane-Change Decision Model. IEEE Transactions on Intelligent Transportation Systems. 23(12). 23474–23487. 10 indexed citations
6.
Jiang, Longsheng & Yue Wang. (2021). A Personalized Computational Model for Human-Like Automated Decision-Making. IEEE Transactions on Automation Science and Engineering. 19(2). 850–863. 14 indexed citations
7.
Hu, Zhiwei, et al.. (2020). Time Series Anomaly Detection Based on Graph Convolutional Networks. 138–145. 2 indexed citations
8.
Jiang, Longsheng, et al.. (2020). A Bayesian Trust Inference Model for Human-Multi-Robot Teams. International Journal of Social Robotics. 13(8). 1951–1965. 23 indexed citations
9.
Jiang, Longsheng & Yue Wang. (2019). A Human-Computer Interface Design for Quantitative Measure of Regret Theory. IFAC-PapersOnLine. 51(34). 15–20. 5 indexed citations
10.
Jiang, Longsheng & Yue Wang. (2019). Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model. 936–941. 4 indexed citations
11.
Jiang, Longsheng, et al.. (2017). A quantitative measure of regret in decision-making for human-robot collaborative search tasks. 1524–1529. 5 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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