Kun Jiang

2.8k total citations
161 papers, 1.8k citations indexed

About

Kun Jiang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Kun Jiang has authored 161 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 44 papers in Automotive Engineering and 32 papers in Aerospace Engineering. Recurrent topics in Kun Jiang's work include Autonomous Vehicle Technology and Safety (40 papers), Robotics and Sensor-Based Localization (20 papers) and Robotic Path Planning Algorithms (12 papers). Kun Jiang is often cited by papers focused on Autonomous Vehicle Technology and Safety (40 papers), Robotics and Sensor-Based Localization (20 papers) and Robotic Path Planning Algorithms (12 papers). Kun Jiang collaborates with scholars based in China, United States and France. Kun Jiang's co-authors include Diange Yang, Mengmeng Yang, Zhongyang Xiao, Zhong Cao, Jing Lu, Diange Yang, Xinyu Jiao, H. T. Wong, Zhihua Wang and Yang Xiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Renewable Energy.

In The Last Decade

Kun Jiang

138 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Jiang China 19 524 489 352 323 298 161 1.8k
Hong Wang China 25 1.1k 2.0× 654 1.3× 421 1.2× 243 0.8× 440 1.5× 154 2.3k
Yunfeng Ai China 19 627 1.2× 563 1.2× 217 0.6× 153 0.5× 489 1.6× 77 1.8k
Omar Y. Al-Jarrah United Kingdom 12 451 0.9× 515 1.1× 197 0.6× 351 1.1× 183 0.6× 20 1.8k
Seung‐Woo Seo South Korea 24 729 1.4× 351 0.7× 196 0.6× 754 2.3× 288 1.0× 158 2.0k
Rui Fan China 24 247 0.5× 885 1.8× 323 0.9× 139 0.4× 87 0.3× 136 2.1k
Baigen Cai China 23 361 0.7× 191 0.4× 501 1.4× 578 1.8× 570 1.9× 288 2.2k
Hermann Winner Germany 24 1.7k 3.3× 388 0.8× 315 0.9× 353 1.1× 724 2.4× 160 2.8k
Tamás Keviczky Netherlands 26 584 1.1× 376 0.8× 330 0.9× 398 1.2× 2.0k 6.6× 125 3.1k
Qi Zhao China 22 219 0.4× 1.4k 2.8× 480 1.4× 336 1.0× 115 0.4× 79 2.7k
Douglas Creighton Australia 24 100 0.2× 771 1.6× 235 0.7× 314 1.0× 378 1.3× 97 2.5k

Countries citing papers authored by Kun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Jiang. A scholar is included among the top collaborators of Kun 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 Kun Jiang. Kun Jiang 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.
Huang, Jian, et al.. (2025). Multimodal hypergraph network with contrastive learning for sentiment analysis. Neurocomputing. 627. 129566–129566. 2 indexed citations
2.
Su, Zhiyong, Changchang Wang, Kun Jiang, Kai Jiang, & Weiqing Li. (2024). SITF: A Self-Supervised Iterative Training Framework for Point Cloud Denoising. Computer-Aided Design. 179. 103812–103812. 1 indexed citations
3.
Li, Chang, et al.. (2024). Establishment and Validation of a Risk Prediction Model for Sepsis-Associated Liver Injury in ICU Patients: A Retrospective Cohort Study. Infection and Drug Resistance. Volume 18. 1–13. 1 indexed citations
4.
Yang, Mengmeng, et al.. (2024). Exploring the application of blockchain technology in crowdsource autonomous driving map updating. SHILAP Revista de lepidopterología. 4. 100140–100140. 1 indexed citations
5.
Chen, Huixian, et al.. (2024). LaneDAG: Automatic HD Map Topology Generator Based on Geometry and Attention Fusion Mechanism. 1015–1021. 1 indexed citations
6.
Jiang, Kun, et al.. (2024). Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 11814–11834. 4 indexed citations
7.
Jiang, Kun, et al.. (2024). Top-Down Attention-Based Mechanisms for Interpretable Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 26(2). 2212–2226. 1 indexed citations
8.
Jiao, Xinyu, et al.. (2023). Autonomous Driving Risk Assessment With Boundary-Based Environment Model. IEEE Transactions on Intelligent Vehicles. 9(1). 642–655. 6 indexed citations
9.
Jiang, Kun, et al.. (2023). Traffic Police 3D Gesture Recognition Based on Spatial–Temporal Fully Adaptive Graph Convolutional Network. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9518–9531. 6 indexed citations
10.
Yang, Mengmeng, et al.. (2023). Multi-Session High-Definition Map-Monitoring System for Map Update. ISPRS International Journal of Geo-Information. 13(1). 6–6.
11.
Cao, Zhong, et al.. (2023). Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 24(8). 7932–7942. 11 indexed citations
12.
Jiang, Kun, et al.. (2022). A REAL-TIME DETECTION MODEL FOR IDETIFICATION OF CITRUS DURING DIFFERENT GROWTH STAGES IN ORCHARDS. INMATEH Agricultural Engineering. 372–381. 1 indexed citations
13.
Cao, Zhong, et al.. (2022). Autonomous Driving Policy Continual Learning With One-Shot Disengagement Case. IEEE Transactions on Intelligent Vehicles. 8(2). 1380–1391. 8 indexed citations
14.
Cao, Zhong, et al.. (2022). Dynamically Conservative Self-Driving Planner for Long-Tail Cases. IEEE Transactions on Intelligent Transportation Systems. 24(3). 3476–3488. 11 indexed citations
15.
Jiang, Kun, et al.. (2022). TM3Loc: Tightly-Coupled Monocular Map Matching for High Precision Vehicle Localization. IEEE Transactions on Intelligent Transportation Systems. 23(11). 20268–20281. 24 indexed citations
16.
Jiang, Kun, et al.. (2022). Roadside HD Map Object Reconstruction Using Monocular Camera. IEEE Robotics and Automation Letters. 7(3). 7722–7729. 8 indexed citations
17.
Jiao, Xinyu, Kun Jiang, Yunlong Wang, et al.. (2022). Reliable Autonomous Driving Environment Model With Unified State-Extended Boundary. IEEE Transactions on Intelligent Transportation Systems. 24(1). 516–527. 7 indexed citations
18.
Hao, Steven, Zesong Li, Jian Wu, et al.. (2021). PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving. 3095–3101. 131 indexed citations
19.
Jiang, Kun, Lili Ju, Jingwei Li, & Xiao Li. (2021). Unconditionally stable exponential time differencing schemes for the mass‐conserving Allen–Cahn equation with nonlocal and local effects. Numerical Methods for Partial Differential Equations. 38(6). 1636–1657. 18 indexed citations
20.
Yang, Diange, et al.. (2018). Pixels and 3-D Points Alignment Method for the Fusion of Camera and LiDAR Data. IEEE Transactions on Instrumentation and Measurement. 68(10). 3661–3676. 56 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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