Jieling Jin

460 citations
30 papers · 260 · 1 hit paper · h-index 10

Impact in

Papers in

Jieling Jin

27 papers receiving 254 citations

Jieling Jin's Hit Papers

Multi-objective deep reinforcement learning approach for adaptive traffic signal control system with concurrent optimization of safety, efficiency, and decarbonization at intersections 2024 · 51 citations
510+1Years since publication1020304050

Peers

Jieling Jin
Comparison fields: 5 of 56
  • Safety, Risk, Reliability and Quality 85
  • Automotive Engineering 91
  • Building and Construction 101
  • Transportation 48
  • Control and Systems Engineering 105
Replace Weike Lu with:
Weike Lu China
Iman Mahdinia United States
Wade Genders Canada
Kui Yang China
Romain Billot France
Hanbong Lee United States
Maurice Aron France
Phil Charles Australia
Pritikana Das India
Giuseppe Prettico Italy
Jieling Jin relative to Weike Lu China Weike Lu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jieling Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jieling Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-objective deep reinforcement learning approach for adaptive traffic signal control system with concurrent optimization of safety, efficiency, and decarbonization at intersections
Hit paper breakdown →
202451
2 202339
3 202428
4 202422
5 202116
6 201715
7 202311
8 202410
9 20249
10 20239
11 20238
12 20247
13 20246
14 20245
15 20245
16 20253
17 20232
18 20252
19 20252
20 20252

About Jieling Jin

Jieling Jin is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering, Building and Construction, Automotive Engineering and Transportation, having authored 30 papers that have together received 260 indexed citations. Recurring topics across this work include Traffic and Road Safety (19 papers), Traffic control and management (14 papers), Traffic Prediction and Management Techniques (13 papers), Autonomous Vehicle Technology and Safety (10 papers), Transportation Planning and Optimization (4 papers), Risk and Safety Analysis (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Urban Transport and Accessibility (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (85 citations), Automotive Engineering (91 citations), Building and Construction (101 citations), Transportation (48 citations) and Control and Systems Engineering (105 citations). Jieling Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Helai Huang, Ye Li, Fangrong Chang, Yuanchang Deng, Fan Yang, Yuan Chen, Rui Zhou, Guoqing Zhang, Hanchu Zhou and Pan Liu. Their work appears in journals such as Accident Analysis & Prevention, Transportmetrica A Transport Science, Traffic Injury Prevention, Engineering Applications of Artificial Intelligence and International Journal of Transportation Science and Technology.

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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