Longsheng Jiang

12 papers receiving 219 citations

Longsheng Jiang's Hit Papers

Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic 2023 · 120 citations
1200+1+2Years since publication4080120

Peers

Longsheng Jiang
Comparison fields: 5 of 49
  • Automotive Engineering 76
  • Control and Systems Engineering 96
  • Social Psychology 50
  • Industrial and Manufacturing Engineering 24
  • Medical Laboratory Technology 3
Replace Karsten Lemmer with:
Karsten Lemmer Germany
Lin Shen Liew Singapore
Henry Alexander Ignatious United Arab Emirates
Fengjun Zhou Singapore
Kishor V. Bhadane India
Dongjian Song China
Yaohui Guo United States
Ehsan Moradi‐Pari United States
Xinyu Jiao China
Daocheng Fu China
Longsheng Jiang relative to Karsten Lemmer Germany Karsten Lemmer's profile →
Citations per field
00.5×10.6×
Karsten Lemmer · 1×
Citations per year

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-authors

The 9 scholars most cited alongside Longsheng Jiang, 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 Longsheng Jiang Line = papers co-authored together Longsheng Jiang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic
Hit paper breakdown →
2023120
2 202023
3 201621
4 202115
5 202311
6 202211
7 20227
8 20195
9 20175
10 20194
11 20202
12 20251

About Longsheng Jiang

Longsheng Jiang is a scholar working on Social Psychology, General Decision Sciences, Artificial Intelligence, Management Science and Operations Research and Surgery, having authored 12 papers that have together received 225 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (8 papers), Decision-Making and Behavioral Economics (5 papers), Multi-Criteria Decision Making (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Healthcare Technology and Patient Monitoring (2 papers), Electricity Theft Detection Techniques (1 paper), Transportation and Mobility Innovations (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Automotive Engineering (76 citations), Control and Systems Engineering (96 citations), Social Psychology (50 citations), Industrial and Manufacturing Engineering (24 citations) and Medical Laboratory Technology (3 citations). Longsheng Jiang has collaborated with scholars based in United States and China. Frequent co-authors include Yue Wang, Zhaojian Li, Dong Chen, Yongqiang Wang, Fangjian Li, Zhiwei Hu, Jia Liu, Jintao Li and Yunan Zhang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Intelligent & Robotic Systems, International Journal of Social Robotics, IEEE Transactions on Automation Science and Engineering and Science Advances.

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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