Peijun Ye

1.7k total citations · 2 hit papers
65 papers, 1.1k citations indexed

About

Peijun Ye is a scholar working on Transportation, Artificial Intelligence and Building and Construction. According to data from OpenAlex, Peijun Ye has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Transportation, 13 papers in Artificial Intelligence and 12 papers in Building and Construction. Recurrent topics in Peijun Ye's work include Transportation Planning and Optimization (15 papers), Traffic Prediction and Management Techniques (12 papers) and Traffic control and management (9 papers). Peijun Ye is often cited by papers focused on Transportation Planning and Optimization (15 papers), Traffic Prediction and Management Techniques (12 papers) and Traffic control and management (9 papers). Peijun Ye collaborates with scholars based in China, Macao and United States. Peijun Ye's co-authors include Fei‐Yue Wang, Fenghua Zhu, Yisheng Lv, Xuan Li, Xiao Wang, Qiulei Dong, Siqi Fan, Yong Yuan, Zhongmin Liu and Longbing Cao and has published in prestigious journals such as Journal of Chromatography A, Expert Systems with Applications and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Peijun Ye

59 papers receiving 1.0k citations

Hit Papers

SCF-Net: Learning Spatial Contextual Features for Large-S... 2021 2026 2022 2024 2021 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
    2021 195 citations Fenghua Zhu, Yisheng Lv et al. profile →
  2. From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V
    2022 128 citations Peijun Ye, Fei‐Yue Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peijun Ye China 17 189 178 163 155 150 65 1.1k
Caiyan Jia China 19 263 1.4× 445 2.5× 209 1.3× 122 0.8× 67 0.4× 77 1.5k
Azam Khan Canada 25 352 1.9× 149 0.8× 27 0.2× 141 0.9× 78 0.5× 106 1.9k
Wei Song China 18 53 0.3× 124 0.7× 26 0.2× 87 0.6× 58 0.4× 142 1.1k
Xinhu Zheng China 14 322 1.7× 398 2.2× 210 1.3× 368 2.4× 291 1.9× 40 1.6k
Dilip Patel India 19 191 1.0× 449 2.5× 63 0.4× 201 1.3× 48 0.3× 97 1.4k
Yao Yu China 20 193 1.0× 170 1.0× 26 0.2× 54 0.3× 25 0.2× 72 1.2k
Grammati Pantziou Greece 22 153 0.8× 240 1.3× 381 2.3× 93 0.6× 323 2.2× 103 2.4k
Henry Y.K. Lau Hong Kong 18 92 0.5× 93 0.5× 48 0.3× 229 1.5× 43 0.3× 91 1.2k
Zhong Liu China 22 127 0.7× 247 1.4× 65 0.4× 97 0.6× 314 2.1× 105 1.6k
Asim Karim Pakistan 22 669 3.5× 760 4.3× 289 1.8× 415 2.7× 85 0.6× 72 2.1k

Countries citing papers authored by Peijun Ye

Since Specialization
Citations

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

Fields of papers citing papers by Peijun Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijun Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Peijun Ye. A scholar is included among the top collaborators of Peijun Ye 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 Peijun Ye. Peijun Ye 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.
Liu, Zhenhui, Peijun Ye, Zheng Zhao, et al.. (2025). Dual-filler mixed matrix membrane with covalent-organic framework and nano TiO2/polyether sulfone for efficient antibody purification. Journal of Chromatography A. 1751. 465940–465940.
2.
Feng, Zunlei, et al.. (2025). CoEF: Vehicular cooperative perception based on entropy theory and feature re-projection. Expert Systems with Applications. 280. 127371–127371.
3.
Ye, Peijun, et al.. (2024). Sparse-attention augmented domain adaptation for unsupervised person re-identification. Pattern Recognition Letters. 187. 8–13. 1 indexed citations
4.
Ye, Peijun, et al.. (2024). Cognitive Reinforcement Learning: An Interpretable Decision-Making for Virtual Driver. IEEE Journal of Radio Frequency Identification. 8. 627–631. 2 indexed citations
5.
6.
Du, Haiping, Siyu Teng, Hong Chen, et al.. (2024). Retraction Notice: Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective. IEEE Transactions on Intelligent Vehicles. 1–1. 1 indexed citations
7.
Ye, Peijun, et al.. (2024). Dynamic Driving Style Recognition for Human Machine Shared Control. IEEE Transactions on Intelligent Vehicles. 10(10). 4669–4678. 2 indexed citations
8.
Zhu, Fenghua, et al.. (2024). Interpretable Autonomous Driving Model Based on Cognitive Reinforcement Learning. 515–520. 2 indexed citations
9.
Zhu, Fenghua, et al.. (2024). Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning. IEEE Transactions on Intelligent Transportation Systems. 25(9). 11563–11575. 6 indexed citations
10.
Ye, Peijun & Fei‐Yue Wang. (2024). Personality Shaping: A Prescriptive Approach Based on Virtual-Real Human Interaction. IEEE Transactions on Systems Man and Cybernetics Systems. 54(12). 7548–7557.
11.
Zhang, Hui, et al.. (2024). Internet of Vehicular Intelligence: Enhancing Connectivity and Autonomy in Smart Transportation Systems. IEEE Transactions on Intelligent Vehicles. 1–5. 1 indexed citations
12.
Wang, Tan, et al.. (2023). Modeling Digital Personality: A Fuzzy-Logic-Based Myers–Briggs Type Indicator for Fine-Grained Analytics of Digital Human. IEEE Transactions on Computational Social Systems. 11(1). 1096–1107. 11 indexed citations
13.
Shen, Zhen, Qinglai Wei, Gang Xiong, et al.. (2021). YOLOv4 Based Deep Learning Algorithm for Defects Detection and Classification of Rail Surfaces. 1616–1620. 9 indexed citations
14.
Chen, Yuanyuan, et al.. (2020). Acting as a Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems. 23(4). 3190–3200. 26 indexed citations
15.
Ye, Peijun, Xiao Wang, Gang Xiong, Shichao Chen, & Fei‐Yue Wang. (2020). TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution. IEEE Transactions on Cybernetics. 51(12). 5897–5906. 16 indexed citations
16.
Wang, Fei‐Yue, Xiao Wang, Juanjuan Li, Peijun Ye, & Qiang Li. (2019). Social Computing: From Crowdsourcing to Crowd Intelligence by Cyber Movement Organizations. IEEE Transactions on Computational Social Systems. 6(4). 619–626. 10 indexed citations
17.
Ye, Peijun, Shuai Wang, & Fei‐Yue Wang. (2017). A General Cognitive Architecture for Agent-Based Modeling in Artificial Societies. IEEE Transactions on Computational Social Systems. 5(1). 176–185. 32 indexed citations
18.
Zhang, Jun, et al.. (2015). BIFURANS VIA PALLADIUM-CATALYZED SUZUKI COUPLING. 91(11). 2190–2196. 1 indexed citations
19.
Zhu, Fenghua, Songhang Chen, Yisheng Lv, et al.. (2012). Parallel public transport system and its application in the evacuation of large-scale activities. 1. 102–107. 4 indexed citations
20.
Ye, Peijun & Wen Ding. (2012). A Study of Destination Selection Model Based on Link Flows. IEEE Transactions on Intelligent Transportation Systems. 14(1). 428–437. 11 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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