Nong Sang

1.5k total citations · 2 hit papers
34 papers, 1.1k citations indexed

About

Nong Sang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Nong Sang has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Nong Sang's work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (8 papers) and Image Enhancement Techniques (7 papers). Nong Sang is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (8 papers) and Image Enhancement Techniques (7 papers). Nong Sang collaborates with scholars based in China, United States and Australia. Nong Sang's co-authors include Changxin Gao, Lerenhan Li, Yuanjie Shao, Wenqi Ren, Tianxu Zhang, Zhenghua Huang, Ming–Hsuan Yang, Jinshan Pan, Qian Li and Wei‐Sheng Lai and has published in prestigious journals such as Sensors, Information Sciences and International Journal of Computer Vision.

In The Last Decade

Nong Sang

31 papers receiving 1.0k citations

Hit Papers

Domain Adaptation for Image Dehazing 2020 2026 2022 2024 2020 2024 100 200 300
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. Domain Adaptation for Image Dehazing
    2020 323 citations Yuanjie Shao, Lerenhan Li et al. profile →
  2. SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation
    2024 56 citations Changqian Yu, Xiangxiang Chu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nong Sang China 15 890 421 106 64 61 34 1.1k
Robby T. Tan Singapore 17 988 1.1× 239 0.6× 106 1.0× 48 0.8× 58 1.0× 39 1.2k
Yuanchao Bai China 12 1.2k 1.4× 585 1.4× 80 0.8× 46 0.7× 55 0.9× 26 1.4k
Shangchen Zhou Singapore 15 1.1k 1.2× 257 0.6× 100 0.9× 39 0.6× 31 0.5× 36 1.2k
Liangbin Xie China 7 863 1.0× 317 0.8× 93 0.9× 33 0.5× 27 0.4× 16 1.1k
Muhammad Mohsin Riaz Pakistan 16 553 0.6× 330 0.8× 97 0.9× 89 1.4× 66 1.1× 104 784
Li-Wei Kang Taiwan 13 1.2k 1.3× 415 1.0× 43 0.4× 44 0.7× 24 0.4× 32 1.3k
Tiecheng Song China 17 719 0.8× 583 1.4× 167 1.6× 103 1.6× 98 1.6× 62 1.3k
Hai‐Miao Hu China 18 1.9k 2.1× 830 2.0× 102 1.0× 126 2.0× 121 2.0× 69 2.1k
Hongyan Wei China 11 498 0.6× 391 0.9× 35 0.3× 85 1.3× 57 0.9× 34 717
Chunjuan Bo China 14 387 0.4× 161 0.4× 80 0.8× 43 0.7× 92 1.5× 33 586

Countries citing papers authored by Nong Sang

Since Specialization
Citations

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

Fields of papers citing papers by Nong Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nong Sang

This figure shows the co-authorship network connecting the top 25 collaborators of Nong Sang. A scholar is included among the top collaborators of Nong Sang 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 Nong Sang. Nong Sang 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.
Han, Chuchu, et al.. (2025). Spatial cascaded clustering and weighted memory for unsupervised person re-identification. Image and Vision Computing. 156. 105478–105478.
2.
Zhang, Hua‐Xin, Xiaohao Xu, Xiang Wang, et al.. (2025). Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity. 13843–13853. 1 indexed citations
3.
Zhang, Huaxin, Xiang Wang, Xiaohao Xu, et al.. (2024). HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7115–7123. 5 indexed citations
4.
Yu, Changqian, et al.. (2024). SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6378–6386. 56 indexed citations breakdown →
5.
Nie, Ying, et al.. (2024). UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity. 22010–22019. 17 indexed citations
6.
Zhang, Feng, Xinran Liu, Changxin Gao, & Nong Sang. (2024). Color and Luminance Separated Enhancement for Low-Light Images with Brightness Guidance. Sensors. 24(9). 2711–2711. 1 indexed citations
7.
Yu, Changqian, et al.. (2023). Semantic segmentation via pixel‐to‐center similarity calculation. CAAI Transactions on Intelligence Technology. 9(1). 87–100. 1 indexed citations
8.
Han, Chuchu, Zhedong Zheng, Changxin Gao, Nong Sang, & Yi Yang. (2021). Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1505–1512. 32 indexed citations
9.
Liu, Jiahui, et al.. (2020). CSENet: Cascade semantic erasing network for weakly-supervised semantic segmentation. Neurocomputing. 453. 885–895. 10 indexed citations
10.
Zhao, Shizhen, Changxin Gao, Yuanjie Shao, et al.. (2020). GTNet: Generative Transfer Network for Zero-Shot Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12967–12974. 37 indexed citations
11.
Shao, Yuanjie, Lerenhan Li, Wenqi Ren, Changxin Gao, & Nong Sang. (2020). Domain Adaptation for Image Dehazing. 2805–2814. 323 indexed citations breakdown →
12.
Li, Lerenhan, et al.. (2019). Blind Image Deblurring via Deep Discriminative Priors. International Journal of Computer Vision. 127(8). 1025–1043. 91 indexed citations
13.
Huang, Zhenghua, et al.. (2018). Framelet regularization for uneven intensity correction of color images with illumination and reflectance estimation. Neurocomputing. 314. 154–168. 62 indexed citations
14.
Huang, Zhenghua, Yaozong Zhang, Qian Li, et al.. (2018). Progressive Dual-Domain Filter for Enhancing and Denoising Optical Remote-Sensing Images. IEEE Geoscience and Remote Sensing Letters. 15(5). 759–763. 94 indexed citations
15.
Zhang, Shiwei, Changxin Gao, Jing Zhang, Feifei Chen, & Nong Sang. (2017). Discriminative Part Selection For Human Action Recognition. IEEE Transactions on Multimedia. 1–1. 17 indexed citations
16.
Liu, Leyuan, Jingying Chen, Changxin Gao, & Nong Sang. (2016). A low‐cost real‐time face tracking system for ITSs and SDASs. Software Practice and Experience. 47(8). 1111–1126. 2 indexed citations
17.
Qu, Zhiguo, et al.. (2016). Fast Online Video Synopsis Based on Potential Collision Graph. IEEE Signal Processing Letters. 24(1). 22–26. 25 indexed citations
18.
Gao, Changxin, Feifei Chen, Jin-Gang Yu, Rui Huang, & Nong Sang. (2015). Robust Visual Tracking Using Exemplar-Based Detectors. IEEE Transactions on Circuits and Systems for Video Technology. 27(2). 300–312. 15 indexed citations
19.
Sang, Nong, et al.. (2009). Generic object recognition with biologically-inspired features. 38. 1–7. 1 indexed citations
20.
Zhu, Gengming & Nong Sang. (2008). An Adaptive Quantitative Information Hiding Algorithm Based on DCT Domain of New Visual Model. 43. 546–550. 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.

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