Ji Lin

8.3k total citations · 2 hit papers
42 papers, 2.3k citations indexed

About

Ji Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Ji Lin has authored 42 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in Ji Lin's work include Advanced Neural Network Applications (12 papers), Adversarial Robustness in Machine Learning (5 papers) and Video Surveillance and Tracking Methods (5 papers). Ji Lin is often cited by papers focused on Advanced Neural Network Applications (12 papers), Adversarial Robustness in Machine Learning (5 papers) and Video Surveillance and Tracking Methods (5 papers). Ji Lin collaborates with scholars based in China, United States and Taiwan. Ji Lin's co-authors include Song Han, Chuang Gan, Jie Zhou, Jiwen Lu, Yongming Rao, Kuan Wang, Yujun Lin, Zhijian Liu, Han Cai and Ligeng Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Ji Lin

35 papers receiving 2.3k citations

Hit Papers

TSM: Temporal Shift Module for Efficient Video Understanding 2019 2026 2021 2023 2019 2025 250 500 750 1000
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. TSM: Temporal Shift Module for Efficient Video Understanding
    2019 1.1k citations Ji Lin, Chuang Gan et al. profile →
  2. AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration
    2025 54 citations Ji Lin, Jiaming Tang et al. GetMobile Mobile Computing and Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Lin China 17 1.8k 952 371 166 137 42 2.3k
Ning Jia China 14 1.7k 1.0× 857 0.9× 428 1.2× 137 0.8× 135 1.0× 54 2.9k
Wu Liu China 32 2.9k 1.6× 750 0.8× 811 2.2× 224 1.3× 130 0.9× 139 3.5k
Chunyan Xu China 24 2.8k 1.6× 769 0.8× 316 0.9× 78 0.5× 125 0.9× 82 4.0k
Yabiao Wang China 18 2.9k 1.6× 1.5k 1.6× 306 0.8× 71 0.4× 151 1.1× 60 4.0k
James Ferryman United Kingdom 26 1.8k 1.0× 661 0.7× 194 0.5× 118 0.7× 131 1.0× 112 2.3k
Zhigang Tu China 25 1.7k 0.9× 744 0.8× 476 1.3× 296 1.8× 51 0.4× 85 2.3k
Joe Yue-Hei Ng United States 8 1.6k 0.9× 819 0.9× 325 0.9× 155 0.9× 49 0.4× 10 1.9k
Changxin Gao China 31 4.0k 2.2× 1.2k 1.3× 466 1.3× 158 1.0× 98 0.7× 154 4.9k
Humphrey Shi United States 30 3.2k 1.8× 1.0k 1.1× 500 1.3× 58 0.3× 133 1.0× 93 4.2k

Countries citing papers authored by Ji Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ji Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Lin. A scholar is included among the top collaborators of Ji Lin 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 Ji Lin. Ji Lin 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, Jintao, et al.. (2025). Railway operational hazard prediction and control based on knowledge graph embedding and topological analysis. Reliability Engineering & System Safety. 258. 110917–110917. 3 indexed citations
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Liu, Cheng, et al.. (2025). College student mental health assessment: Predictive models based on machine learning and feature importance analysis. Molecular & cellular biomechanics. 22(3). 1477–1477.
5.
Lin, Ji, et al.. (2025). A dynamic financial risk prediction system for enterprises based on gradient boosting decision tree algorithm. Systems and Soft Computing. 7. 200189–200189. 3 indexed citations
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7.
Lin, Ji, et al.. (2025). AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. GetMobile Mobile Computing and Communications. 28(4). 12–17. 54 indexed citations breakdown →
8.
Lin, Ji, et al.. (2024). TRAA: a two-risk archive algorithm for expensive many-objective optimization. Complex & Intelligent Systems. 10(5). 7349–7371. 1 indexed citations
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Li, Dafang, et al.. (2024). ChatDiff: A ChatGPT-based diffusion model for long-tailed classification. Neural Networks. 181. 106794–106794. 2 indexed citations
11.
Cai, Han, Ji Lin, Yujun Lin, et al.. (2022). Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. ACM Transactions on Design Automation of Electronic Systems. 27(3). 1–50. 85 indexed citations
12.
Lin, Ji, Wei-Ming Chen, Han Cai, Chuang Gan, & Song Han. (2021). Memory-efficient Patch-based Inference for Tiny Deep Learning. Neural Information Processing Systems. 34. 14 indexed citations
13.
Liu, Tao, Luke A. McGuire, Haiyan Wei, et al.. (2021). The timing and magnitude of changes to Hortonian overland flow at the watershed scale during the post‐fire recovery process. Hydrological Processes. 35(5). 27 indexed citations
14.
Lin, Ji, Weiming Chen, Yujun Lin, et al.. (2020). MCUNet: Tiny Deep Learning on IoT Devices. arXiv (Cornell University). 33. 11711–11722. 8 indexed citations
15.
Hu, Hou-Ning, Qi-Zhi Cai, Dequan Wang, et al.. (2019). Joint Monocular 3D Vehicle Detection and Tracking. 5389–5398. 154 indexed citations
16.
Lin, Ji & Keqin Duan. (2019). What is the main driving force of hydrological cycle variations in the semiarid and semi-humid Weihe River Basin, China?. The Science of The Total Environment. 684. 254–264. 43 indexed citations
17.
Lin, Ji & Liangang Peng. (2019). Modified Ringel–Hall algebras, Green's formula and derived Hall algebras. Journal of Algebra. 526. 81–103. 6 indexed citations
18.
Cai, Han, Ji Lin, Yujun Lin, et al.. (2019). AutoML for Architecting Efficient and Specialized Neural Networks. IEEE Micro. 40(1). 75–82. 15 indexed citations
19.
Wang, Kuan, Zhijian Liu, Yujun Lin, Ji Lin, & Song Han. (2018). HAQ: Hardware-Aware Automated Quantization. arXiv (Cornell University). 24 indexed citations
20.
Lin, Ji, Yongming Rao, Jiwen Lu, & Jie Zhou. (2017). Runtime Neural Pruning. Neural Information Processing Systems. 30. 2181–2191. 183 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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