Jin Zeng

803 total citations
35 papers, 471 citations indexed

About

Jin Zeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jin Zeng has authored 35 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Jin Zeng's work include Advanced Vision and Imaging (9 papers), Image Enhancement Techniques (9 papers) and Advanced Image Processing Techniques (5 papers). Jin Zeng is often cited by papers focused on Advanced Vision and Imaging (9 papers), Image Enhancement Techniques (9 papers) and Advanced Image Processing Techniques (5 papers). Jin Zeng collaborates with scholars based in China, Hong Kong and United States. Jin Zeng's co-authors include Gene Cheung, Wen‐Xiong Wang, Liuyan Yang, Jiahao Pang, Cheng Yang, Michael K. Ng, Antonio Ortega, Zhiwei Wang, Ruobin Dai and Wenxiu Sun and has published in prestigious journals such as Environmental Science & Technology, Water Research and IEEE Transactions on Image Processing.

In The Last Decade

Jin Zeng

32 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin Zeng China	12	186	86	78	68	61	35	471
Wenbo Hu China	12	234 1.3×	82 1.0×	4 0.1×	26 0.4×	43 0.7×	29	467
Lu Gan China	16	174 0.9×	21 0.2×	11 0.1×	50 0.7×	84 1.4×	56	598
Seung‐Mok Lee South Korea	13	132 0.7×	5 0.1×	64 0.8×	30 0.4×	46 0.8×	48	542
Wenyong Yu China	14	156 0.8×	68 0.8×	18 0.2×	137 2.0×	39 0.6×	35	478
Yong Shi China	11	192 1.0×	6 0.1×	29 0.4×	65 1.0×	17 0.3×	58	543
Yutong Zhang China	17	12 0.1×	56 0.7×	29 0.4×	39 0.6×	52 0.9×	48	810
Yuxin Yao China	12	134 0.7×	140 1.6×	14 0.2×	17 0.3×	33 0.5×	33	559
Yangjie Wei China	12	118 0.6×	10 0.1×	12 0.2×	43 0.6×	94 1.5×	69	442
Xiaodi Zhang China	12	36 0.2×	37 0.4×	8 0.1×	70 1.0×	13 0.2×	82	571

Countries citing papers authored by Jin Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Jin Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Zeng. A scholar is included among the top collaborators of Jin Zeng 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 Jin Zeng. Jin Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Shijie, Shengjie Zhao, Jin Zeng, & Hao Deng. (2025). A Few-Shot Learning Framework for Depth Completion Based on Self-Training with Noise and Pixel-Wise Knowledge Distillation. Applied Sciences. 15(9). 4740–4740. 1 indexed citations

Hé, Changyong, et al.. (2025). Deep Unrolled Graph Laplacian Regularization for Robust Time-of-Flight Depth Denoising. IEEE Signal Processing Letters. 32. 821–825.

Zeng, Jin, et al.. (2024). Sensing and Deep CNN-Assisted Semi-Blind Detection for Multi-User Massive MIMO Communications. Remote Sensing. 16(2). 247–247. 1 indexed citations

Zhao, Shengjie, et al.. (2024). CASTNet: Convolution Augmented Graph Sampling Transformer Network for Traffic Flow Forecasting. 24. 1292–1297. 1 indexed citations

Wang, Hejia, Jin Zeng, Ruobin Dai, & Zhiwei Wang. (2024). Understanding Rejection Mechanisms of Trace Organic Contaminants by Polyamide Membranes via Data-Knowledge Codriven Machine Learning. Environmental Science & Technology. 58(13). 5878–5888. 29 indexed citations

Zeng, Jin, et al.. (2024). Deep Unrolled Weighted Graph Laplacian Regularization for Depth Completion. International Journal of Computer Vision. 133(1). 190–210. 2 indexed citations

Zhou, Huimin, Zhiwei Qiu, Jin Zeng, Ruobin Dai, & Zhiwei Wang. (2023). Ultra-permeable polyamide nanofiltration membrane modified by hydrophilic-hydrophobic alternated lignocellulosic nanofibrils for efficient water reuse. Journal of Membrane Science. 688. 122125–122125. 17 indexed citations

Zeng, Jin, Yang Liu, Gene Cheung, & Wei Hu. (2023). Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks. 9. 1–5. 3 indexed citations

Yuan, Zhikang, Jin Zeng, Zixiang Wei, et al.. (2023). CLAHE-Based Low-Light Image Enhancement for Robust Object Detection in Overhead Power Transmission System. IEEE Transactions on Power Delivery. 38(3). 2240–2243. 29 indexed citations

10.

Qiu, Zhiwei, et al.. (2023). A review on artificial water channels incorporated polyamide membranes for water purification: Transport mechanisms and performance. Water Research. 247. 120774–120774. 15 indexed citations

11.

Zeng, Jin, et al.. (2019). Extracting Keywords from User Comments: Case Study of Meituan. Shuju fenxi yu zhishi faxian. 3(3). 36–44. 2 indexed citations

12.

Zeng, Jin, Gene Cheung, Michael K. Ng, Jiahao Pang, & Cheng Yang. (2019). 3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model. IEEE Transactions on Image Processing. 29. 3474–3489. 115 indexed citations

13.

Zeng, Jin, Jiahao Pang, Wenxiu Sun, Gene Cheung, & Ruichao Xiao. (2018). Deep Graph Laplacian Regularization. arXiv (Cornell University). 2 indexed citations

14.

Zeng, Jin, Lu Fang, Jiahao Pang, Houqiang Li, & Feng Wu. (2016). Subpixel Image Quality Assessment Syncretizing Local Subpixel and Global Pixel Features. IEEE Transactions on Image Processing. 25(12). 5841–5856. 4 indexed citations

15.

Zeng, Jin, Gene Cheung, & Antonio Ortega. (2016). Bipartite subgraph decomposition for critically sampled wavelet filterbanks on arbitrary graphs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6210–6214. 9 indexed citations

16.

Pang, Jiahao, Lu Fang, Jin Zeng, Yuanfang Guo, & Ketan Tang. (2015). Subpixel-Based Image Scaling for Grid-like Subpixel Arrangements: A Generalized Continuous-Domain Analysis Model. IEEE Transactions on Image Processing. 25(3). 1017–1032. 2 indexed citations

17.

Ling, Yonggen, Oscar C. Au, Jiahao Pang, et al.. (2015). Image colorization via color propagation and rank minimization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4228–4232. 4 indexed citations

18.

Au, Oscar C., et al.. (2014). Palette-based compound image compression in HEVC by exploiting non-local spatial correlation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7348–7352. 2 indexed citations

19.

Zeng, Jin, et al.. (2013). A tutorial on image/video coding standards. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2. 1–7. 10 indexed citations

20.

Zeng, Jin, Liuyan Yang, & Wen‐Xiong Wang. (2008). Cadmium and zinc uptake and toxicity in two strains of Microcystis aeruginosa predicted by metal free ion activity and intracellular concentration. Aquatic Toxicology. 91(3). 212–220. 46 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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