Ling Li

4.7k total citations · 2 hit papers
100 papers, 3.3k citations indexed

About

Ling Li is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ling Li has authored 100 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 39 papers in Electrical and Electronic Engineering and 20 papers in Artificial Intelligence. Recurrent topics in Ling Li's work include Advanced Neural Network Applications (19 papers), Advanced Memory and Neural Computing (13 papers) and Parallel Computing and Optimization Techniques (13 papers). Ling Li is often cited by papers focused on Advanced Neural Network Applications (19 papers), Advanced Memory and Neural Computing (13 papers) and Parallel Computing and Optimization Techniques (13 papers). Ling Li collaborates with scholars based in China, United States and France. Ling Li's co-authors include Yunji Chen, Tianshi Chen, Olivier Temam, Tao Luo, Shaoli Liu, Zidong Du, Zhiwei Xu, Shijin Zhang, Liqiang He and Ninghui Sun and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Ling Li

91 papers receiving 3.3k citations

Hit Papers

DaDianNao: A Machine-Learning Supercomputer 2014 2026 2018 2022 2014 2015 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. DaDianNao: A Machine-Learning Supercomputer
    2014 1.1k citations Yunji Chen, Shaoli Liu et al. profile →
  2. ShiDianNao
    2015 657 citations Zidong Du, Tianshi Chen 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
Ling Li China 23 1.6k 1.4k 788 584 331 100 3.3k
Mu Li China 27 231 0.1× 1.0k 0.8× 1.4k 1.8× 82 0.1× 334 1.0× 106 2.9k
Yutao Liu China 35 873 0.5× 1.2k 0.9× 436 0.6× 80 0.1× 186 0.6× 166 3.9k
Zhili Chen China 31 1.0k 0.6× 811 0.6× 700 0.9× 146 0.3× 294 0.9× 196 3.6k
Yaoguang Wei China 31 493 0.3× 265 0.2× 165 0.2× 148 0.3× 97 0.3× 107 2.7k
Jian Wang China 29 1.0k 0.6× 479 0.4× 730 0.9× 20 0.0× 815 2.5× 222 3.6k
Huifang Sun United States 35 254 0.2× 2.8k 2.1× 177 0.2× 33 0.1× 227 0.7× 152 4.7k
Chuan Zhang China 29 3.4k 2.1× 233 0.2× 924 1.2× 118 0.2× 2.1k 6.5× 362 5.1k
Dongsheng Liu China 23 604 0.4× 136 0.1× 349 0.4× 96 0.2× 97 0.3× 210 2.0k
Jung Ho Ahn South Korea 41 3.6k 2.3× 489 0.4× 1.0k 1.3× 4.2k 7.2× 3.8k 11.3× 220 8.0k
Quan Quan China 36 806 0.5× 821 0.6× 384 0.5× 15 0.0× 406 1.2× 245 4.4k

Countries citing papers authored by Ling Li

Since Specialization
Citations

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

Fields of papers citing papers by Ling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Li. A scholar is included among the top collaborators of Ling Li 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 Ling Li. Ling Li 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.
Li, Yao, Peiyun Li, Congyan Lu, et al.. (2025). High-Sensitivity InGaZnO FET Sensor Array With Offset Self-Calibration for Multibiomarker Sensing. IEEE Transactions on Electron Devices. 72(5). 2740–2746.
2.
Wang, Linfang, Junjie An, Jing Liu, et al.. (2025). A near-threshold memristive computing-in-memory engine for edge intelligence. Nature Communications. 16(1). 5897–5897. 2 indexed citations
3.
Zhang, Qingwen, Yi Yang, Ling Li, et al.. (2025). HiMo: High-Speed Objects Motion Compensation in Point Clouds. IEEE Transactions on Robotics. 41. 5896–5911.
4.
Li, Ling, et al.. (2025). A Comprehensive Framework for Network System Fault Diagnosis using CNN–LSTM and Optimization Algorithms. Journal of Circuits Systems and Computers. 35(8).
5.
Zhang, Zhenxing, Yuanbo Wen, Hairong Lyu, et al.. (2025). AI Computing Systems for Large Language Models Training. Journal of Computer Science and Technology. 40(1). 6–41. 1 indexed citations
6.
Lu, Congyan, et al.. (2025). In–Ga ratio-dependent positive bias stress stability in InGaO based thin-film transistors. Applied Physics Letters. 127(4). 1 indexed citations
7.
Li, Haochen, et al.. (2024). REACT: Remainder Adaptive Compensation for Domain Adaptive Object Detection. IEEE Transactions on Image Processing. 33. 3735–3748. 3 indexed citations
8.
9.
10.
Yi, Qi, Rui Zhang, Jiaming Guo, et al.. (2023). Learning controllable elements oriented representations for reinforcement learning. Neurocomputing. 549. 126455–126455. 2 indexed citations
11.
Li, Ling, et al.. (2023). Thermodynamic optimization selection: ecological analysis of low-dissipation heat devices. The European Physical Journal Plus. 138(5). 1 indexed citations
12.
Hu, Yu‐Feng, Ling Li, H. L. Tian, et al.. (2021). Daisy: Data analysis integrated software system for X-ray experiments. SHILAP Revista de lepidopterología. 4 indexed citations
13.
Huo, Qiang, Zhenhua Wu, Xingsheng Wang, et al.. (2020). Physics-Based Device-Circuit Cooptimization Scheme for 7-nm Technology Node SRAM Design and Beyond. IEEE Transactions on Electron Devices. 67(3). 907–914. 32 indexed citations
14.
Huo, Qiang, Dengyun Lei, Qing Luo, et al.. (2020). Demonstration of 3D Convolution Kernel Function Based on 8-Layer 3D Vertical Resistive Random Access Memory. IEEE Electron Device Letters. 41(3). 497–500. 18 indexed citations
15.
Wang, Bing, Xinqing Lee, Pan Wu, et al.. (2020). Environmental-friendly coal gangue-biochar composites reclaiming phosphate from water as a slow-release fertilizer. The Science of The Total Environment. 758. 143664–143664. 153 indexed citations
16.
Chen, Yunji, Zidong Du, Shijin Zhang, et al.. (2018). Addressing Sparsity in Deep Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(10). 1858–1871. 11 indexed citations
17.
Liu, Lei, Kai Li, Wenjian Qin, et al.. (2018). Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images. Medical & Biological Engineering & Computing. 56(2). 183–199. 30 indexed citations
18.
Fang, Zhixiang, Hao Luo, & Ling Li. (2017). A Finite State Machine Aided Pedestrian Navigation State Matching Algorithm. SHILAP Revista de lepidopterología. 3 indexed citations
19.
Li, Ling. (2009). A New Algorithm of Action Recognition. Journal of Kunming University of Science and Technology. 1 indexed citations
20.
Li, Ling. (2007). Noisy speech endpoint detection based on approximate entropy. Shengxue jishu. 6 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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