Anlong Ming

1.1k total citations
67 papers, 615 citations indexed

About

Anlong Ming is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Anlong Ming has authored 67 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 7 papers in Artificial Intelligence. Recurrent topics in Anlong Ming's work include Advanced Image and Video Retrieval Techniques (18 papers), Video Surveillance and Tracking Methods (16 papers) and Advanced Vision and Imaging (14 papers). Anlong Ming is often cited by papers focused on Advanced Image and Video Retrieval Techniques (18 papers), Video Surveillance and Tracking Methods (16 papers) and Advanced Vision and Imaging (14 papers). Anlong Ming collaborates with scholars based in China, United States and Italy. Anlong Ming's co-authors include Huadóng Ma, Xuejing Kang, X. Zhang, Yu Zhou, Ran Tao, Yongchang Zhang, Rui Xie, Fei Sheng, Dongxiang Jiang and Lei Zhu and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Anlong Ming

62 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anlong Ming China 14 444 107 86 67 65 67 615
Chunxiao Fan China 12 433 1.0× 100 0.9× 110 1.3× 83 1.2× 145 2.2× 79 731
Yiqun Xu China 8 379 0.9× 77 0.7× 84 1.0× 47 0.7× 70 1.1× 25 576
Tamer Rabie United Arab Emirates 17 733 1.7× 71 0.7× 28 0.3× 89 1.3× 83 1.3× 92 903
W. Enkelmann Germany 13 888 2.0× 85 0.8× 121 1.4× 136 2.0× 46 0.7× 21 1.2k
Qieshi Zhang China 14 423 1.0× 63 0.6× 119 1.4× 83 1.2× 156 2.4× 91 685
Chengjun Liu United States 16 763 1.7× 58 0.5× 75 0.9× 41 0.6× 136 2.1× 76 1.0k
Rin-ichiro Taniguchi Japan 18 665 1.5× 26 0.2× 88 1.0× 94 1.4× 106 1.6× 99 889
Sumit Gupta India 13 311 0.7× 88 0.8× 96 1.1× 78 1.2× 59 0.9× 48 585
Xiaohu Yan China 13 199 0.4× 58 0.5× 48 0.6× 48 0.7× 135 2.1× 31 520

Countries citing papers authored by Anlong Ming

Since Specialization
Citations

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

Fields of papers citing papers by Anlong Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anlong Ming

This figure shows the co-authorship network connecting the top 25 collaborators of Anlong Ming. A scholar is included among the top collaborators of Anlong Ming 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 Anlong Ming. Anlong Ming 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.
Ming, Anlong, et al.. (2025). Cues3D: Unleashing the power of sole NeRF for consistent and unique instances in open-vocabulary 3D panoptic segmentation. Information Fusion. 122. 103164–103164. 1 indexed citations
2.
Kang, Xuejing, et al.. (2025). HDR-NFlow: High Dynamic Range imaging with normalizing flow. Neurocomputing. 647. 130512–130512. 1 indexed citations
3.
4.
Fu, Huiyuan, et al.. (2024). AIGC Image Quality Assessment via Image-Prompt Correspondence. 6432–6441. 7 indexed citations
5.
Ming, Anlong, et al.. (2024). SM 4 Depth: Seamless Monocular Metric Depth Estimation across Multiple Cameras and Scenes by One Model. Iris (University of Trento). 3469–3478.
6.
7.
Li, Chunxiao, et al.. (2023). SWBNet: A Stable White Balance Network for sRGB Images. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1278–1286.
8.
Zhou, Pei, Xuejing Kang, & Anlong Ming. (2023). Vine Spread for Superpixel Segmentation. IEEE Transactions on Image Processing. 32. 878–891. 12 indexed citations
9.
Wang, Tianxi, et al.. (2023). Indoor Obstacle Discovery on Reflective Ground via Monocular Camera. International Journal of Computer Vision. 132(3). 987–1007. 8 indexed citations
10.
Ming, Anlong, et al.. (2023). Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks. 21781–21790. 7 indexed citations
11.
Ming, Anlong, et al.. (2023). EAT: An Enhancer for Aesthetics-Oriented Transformers. 1023–1032. 11 indexed citations
12.
Kang, Xuejing, et al.. (2022). DCT-FANet: DCT based frequency attention network for single image super-resolution. Displays. 74. 102220–102220. 16 indexed citations
13.
Chang, Yicong, et al.. (2022). Fast Road Segmentation via Uncertainty-aware Symmetric Network. 2022 International Conference on Robotics and Automation (ICRA). 11124–11130. 25 indexed citations
14.
Zhang, Bin, Xuejing Kang, & Anlong Ming. (2021). BP-net: deep learning-based superpixel segmentation for RGB-D image. 7433–7438. 2 indexed citations
15.
Zhou, Yu, et al.. (2021). Boundary-induced and scene-aggregated network for monocular depth prediction. Pattern Recognition. 115. 107901–107901. 25 indexed citations
16.
Kang, Xuejing, Lei Zhu, & Anlong Ming. (2020). Dynamic Random Walk for Superpixel Segmentation. IEEE Transactions on Image Processing. 29. 3871–3884. 25 indexed citations
17.
Zhang, Xuesong, Jing Jiang, Anlong Ming, Xuejing Kang, & Gonzalo R. Arce. (2019). Spatio-spectral Modulation Using a Binary Photomask for Compressive Chromotomography. 7710–7714. 1 indexed citations
18.
Zhang, Xuesong, et al.. (2019). A Unified Unsupervised Learning Framework for Stereo Matching and Ego-Motion Estimation. 4285–4289. 1 indexed citations
19.
Yao, Chao, Jimin Xiao, Yao Zhao, & Anlong Ming. (2018). Video Streaming Adaptation Strategy for Multiview Navigation Over DASH. IEEE Transactions on Broadcasting. 65(3). 521–533. 13 indexed citations
20.
Ming, Anlong & Huadóng Ma. (2007). The Biometrics Grid: A Solution to Biometric Technologies. IEEE Distributed Systems Online. 8(9). 1–1. 1 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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