Jun Ling

622 total citations
37 papers, 409 citations indexed

About

Jun Ling is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Jun Ling has authored 37 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 6 papers in Computer Networks and Communications. Recurrent topics in Jun Ling's work include Face recognition and analysis (10 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Speech and Audio Processing (6 papers). Jun Ling is often cited by papers focused on Face recognition and analysis (10 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Speech and Audio Processing (6 papers). Jun Ling collaborates with scholars based in China, United States and United Kingdom. Jun Ling's co-authors include Petre Stoica, Jian Li, Li Song, Rong Xie, Xiao Gu, Shengzheng Wang, Lijuan Luo, Ying Yan, Yongsheng Yang and Xinqiang Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of the Acoustical Society of America and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Jun Ling

30 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ling China 11 181 82 72 68 65 37 409
Huigang Wang China 11 98 0.5× 65 0.8× 49 0.7× 36 0.5× 130 2.0× 44 435
Jiye Qian China 10 181 1.0× 27 0.3× 84 1.2× 43 0.6× 172 2.6× 34 483
Tiantian Liu China 9 111 0.6× 86 1.0× 28 0.4× 205 3.0× 80 1.2× 20 525
Yoonsik Kim South Korea 13 331 1.8× 24 0.3× 130 1.8× 102 1.5× 103 1.6× 57 656
Dongliang Peng China 10 86 0.5× 44 0.5× 144 2.0× 23 0.3× 55 0.8× 92 409
Praneeth Narayanamurthy United States 8 194 1.1× 90 1.1× 48 0.7× 170 2.5× 16 0.2× 24 400
Vesna Popović–Bugarin Montenegro 12 62 0.3× 50 0.6× 209 2.9× 47 0.7× 78 1.2× 22 409
Hongyan Wang China 13 100 0.6× 62 0.8× 232 3.2× 30 0.4× 53 0.8× 81 468
Alexandru Isar Romania 12 261 1.4× 50 0.6× 40 0.6× 31 0.5× 33 0.5× 96 499

Countries citing papers authored by Jun Ling

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ling. A scholar is included among the top collaborators of Jun Ling 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 Jun Ling. Jun Ling 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.
Wang, Qiang, et al.. (2025). PA-HOI: A Physics-Aware Human and Object Interaction Dataset. 12769–12775.
2.
3.
Ling, Jun, et al.. (2024). ViCoFace: Learning Disentangled Latent Motion Representations for Visual-Consistent Face Reenactment. ACM Transactions on Multimedia Computing Communications and Applications. 20(12). 1–24.
4.
5.
Wang, Wei, et al.. (2023). Context-Aware Talking-Head Video Editing. 7718–7727. 4 indexed citations
6.
Ling, Jun, Xu Tan, Liyang Chen, et al.. (2023). StableFace: Analyzing and Improving Motion Stability for Talking Face Generation. IEEE Journal of Selected Topics in Signal Processing. 17(6). 1232–1247. 10 indexed citations
7.
Zhao, An, Lan Cheng, Yuanjun Guo, et al.. (2022). A Novel Principal Component Analysis-Informer Model for Fault Prediction of Nuclear Valves. Machines. 10(4). 240–240. 15 indexed citations
8.
Chen, Liyang, et al.. (2022). Transformer-S2A: Robust and Efficient Speech-to-Animation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7247–7251. 10 indexed citations
9.
Ling, Jun, et al.. (2022). Mathematical study of neural feedback roles in small target motion detection. Frontiers in Neurorobotics. 16. 984430–984430. 5 indexed citations
10.
Huang, Yan, et al.. (2021). A Generative Compression Framework For Low Bandwidth Video Conference. 1–6. 14 indexed citations
11.
Yan, Jinjin, et al.. (2021). Edge detection method of laser cladding pool image based on morphology. 47. 62–62. 4 indexed citations
12.
Wei, Qinglai, et al.. (2021). A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler‐Turbine Systems. Optimal Control Applications and Methods. 44(2). 830–845. 10 indexed citations
13.
14.
15.
Xue, Han, Jun Ling, Li Song, Rong Xie, & Wenjun Zhang. (2020). Realistic Talking Face Synthesis With Geometry-Aware Feature Transformation. 1581–1585. 4 indexed citations
16.
Ling, Jun, et al.. (2020). Fault prediction method for nuclear power machinery based on Bayesian PPCA recurrent neural network model. Nuclear Science and Techniques. 31(8). 28 indexed citations
17.
Wang, Xukun, et al.. (2016). Led-acid battery performance testing research based on neural network technology. 40(12). 2414.
18.
Wang, Xin, Jun Ling, Junhu Wang, Kewen Wang, & Zhiyong Feng. (2014). Answering provenance-aware regular path queries on RDF graphs using an automata-based algorithm. 395–396. 2 indexed citations
19.
Gudmundson, Erik, Petre Stoica, Jian Li, et al.. (2009). Spectral estimation of irregularly sampled exponentially decaying signals with applications to RF spectroscopy. Journal of Magnetic Resonance. 203(1). 167–176. 20 indexed citations
20.
Ling, Jun, et al.. (2003). A novel immune system model and its application to network intrusion detection. Wuhan University Journal of Natural Sciences. 8(2). 393–398. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Huigang Wang Breakdown of academic impact, for papers by Jiye Qian Breakdown of academic impact, for papers by Tiantian Liu Breakdown of academic impact, for papers by Yoonsik Kim Breakdown of academic impact, for papers by Dongliang Peng Breakdown of academic impact, for papers by Praneeth Narayanamurthy Breakdown of academic impact, for papers by Vesna Popović–Bugarin Breakdown of academic impact, for papers by Hongyan Wang Breakdown of academic impact, for papers by Alexandru Isar
Rankless by CCL
2026