Liming Jiang

2.6k total citations · 4 hit papers
27 papers, 1.4k citations indexed

About

Liming Jiang is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Control and Systems Engineering. According to data from OpenAlex, Liming Jiang has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Safety, Risk, Reliability and Quality and 8 papers in Control and Systems Engineering. Recurrent topics in Liming Jiang's work include Traffic and Road Safety (10 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Traffic control and management (7 papers). Liming Jiang is often cited by papers focused on Traffic and Road Safety (10 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Traffic control and management (7 papers). Liming Jiang collaborates with scholars based in United States, Singapore and China. Liming Jiang's co-authors include Chen Change Loy, Yuanchang Xie, Wayne Wu, Xiao Wen, Li Ren, Chen Qian, Lingtao Wu, Bo Dai, Ziwei Liu and Shuai Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.

In The Last Decade

Liming Jiang

25 papers receiving 1.4k citations

Hit Papers

DeeperForensics-1.0: A Large-Scale Dataset for Real-World... 2020 2026 2022 2024 2020 2021 2021 2022 100 200 300

Peers

Liming Jiang
Yanlei Gu Japan
Biao Leng China
Yin Zhou China
Hai Huang China
Bing Han China
Liming Jiang
Citations per year, relative to Liming Jiang Liming Jiang (= 1×) peers Yicheng Li

Countries citing papers authored by Liming Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Liming Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liming Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Liming Jiang. A scholar is included among the top collaborators of Liming 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 Liming Jiang. Liming 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.
Shi, Shuting, Liming Jiang, Zhiqi Zeng, et al.. (2025). Development of a respiratory virus risk model with environmental data based on interpretable machine learning methods. npj Climate and Atmospheric Science. 8(1). 2 indexed citations
2.
Li, Xiaojie, Yan Li, Weiwei Wang, et al.. (2025). Mechanisms underlining Kelp (Saccharina japonica) adaptation to relative high seawater temperature. BMC Genomics. 26(1). 186–186. 1 indexed citations
3.
Jiang, Liming, et al.. (2024). PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 6800–6807.
4.
Jiang, Liming, Yuanchang Xie, & Nicholas G. Evans. (2023). A simulation study of cooperative and autonomous vehicles (CAV) considering courtesy, ethics, and fairness. PLoS ONE. 18(5). e0283649–e0283649. 4 indexed citations
5.
Yang, Shuai, Liming Jiang, Ziwei Liu, & Chen Change Loy. (2023). GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 11869–11883. 7 indexed citations
6.
Wang, Yuhan, Liming Jiang, & Chen Change Loy. (2023). StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation. 22794–22804. 7 indexed citations
7.
Sun, Xinzi, Yuanchang Xie, Liming Jiang, Yu Cao, & Benyuan Liu. (2022). DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation. IEEE Transactions on Intelligent Transportation Systems. 23(10). 18392–18403. 165 indexed citations breakdown →
8.
Yang, Shuai, Liming Jiang, Ziwei Liu, & Chen Change Loy. (2022). Unsupervised Image-to-Image Translation with Generative Prior. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18311–18320. 29 indexed citations
9.
Jiang, Liming, et al.. (2022). TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7673–7682. 35 indexed citations
10.
Wen, Xiao, Yuanchang Xie, Liming Jiang, Yan Li, & Tingjian Ge. (2022). On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development. Accident Analysis & Prevention. 168. 106617–106617. 51 indexed citations
11.
Jiang, Liming, et al.. (2022). Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4710–4719. 14 indexed citations
12.
Jiang, Liming, Yuanchang Xie, Nicholas G. Evans, et al.. (2022). Reinforcement Learning based cooperative longitudinal control for reducing traffic oscillations and improving platoon stability. Transportation Research Part C Emerging Technologies. 141. 103744–103744. 40 indexed citations
13.
Wen, Xiao, Yuanchang Xie, Liming Jiang, Ziyuan Pu, & Tingjian Ge. (2021). Applications of machine learning methods in traffic crash severity modelling: current status and future directions. Transport Reviews. 41(6). 855–879. 74 indexed citations
14.
Jiang, Liming, Yuanchang Xie, Xiao Wen, et al.. (2021). Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles – A Deep Reinforcement Learning Approach. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 14 indexed citations
15.
Jiang, Liming, Bo Dai, Wayne Wu, & Chen Change Loy. (2021). Focal Frequency Loss for Image Reconstruction and Synthesis. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13899–13909. 205 indexed citations breakdown →
16.
Wen, Xiao, Yuanchang Xie, Lingtao Wu, & Liming Jiang. (2021). Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP. Accident Analysis & Prevention. 159. 106261–106261. 221 indexed citations breakdown →
17.
Jiang, Liming, Bo Dai, Wayne Wu, & Chen Change Loy. (2020). Focal Frequency Loss for Generative Models. arXiv (Cornell University). 8 indexed citations
18.
Xie, Yuanchang, et al.. (2020). Cooperative Highway Work Zone Merge Control Based on Reinforcement Learning in a Connected and Automated Environment. Transportation Research Record Journal of the Transportation Research Board. 2674(10). 363–374. 29 indexed citations
19.
Jiang, Liming, Li Ren, Wayne Wu, Chen Qian, & Chen Change Loy. (2020). DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection. 2886–2895. 334 indexed citations breakdown →
20.
Xie, Yuanchang, et al.. (2020). New England merge: a novel cooperative merge control method for improving highway work zone mobility and safety. Journal of Intelligent Transportation Systems. 25(1). 107–121. 20 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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