Guangrun Wang

3.1k total citations · 1 hit paper
42 papers, 1.8k citations indexed

About

Guangrun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Guangrun Wang has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Guangrun Wang's work include Domain Adaptation and Few-Shot Learning (15 papers), Advanced Neural Network Applications (12 papers) and Human Pose and Action Recognition (10 papers). Guangrun Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (15 papers), Advanced Neural Network Applications (12 papers) and Human Pose and Action Recognition (10 papers). Guangrun Wang collaborates with scholars based in China, United Kingdom and Australia. Guangrun Wang's co-authors include Liang Lin, Shengyong Ding, Hongyang Chao, Xiaodan Liang, Xiaojun Chang, Baoxiang Peng, Dezheng Wang, Jinfu Wang, Qing Shu and Ya Li and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Fuel.

In The Last Decade

Guangrun Wang

40 papers receiving 1.8k citations

Hit Papers

Deep feature learning with relative distance comparison f... 2015 2026 2018 2022 2015 100 200 300 400
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. Deep feature learning with relative distance comparison for person re-identification
    2015 470 citations Shengyong Ding, Liang Lin et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangrun Wang China 21 1.2k 513 441 167 111 42 1.8k
Weiwei Xing China 20 531 0.5× 201 0.4× 295 0.7× 54 0.3× 83 0.7× 169 1.5k
Yandong Guo China 23 1.3k 1.1× 111 0.2× 924 2.1× 122 0.7× 184 1.7× 123 2.3k
Siyu Huang China 21 621 0.5× 92 0.2× 350 0.8× 74 0.4× 103 0.9× 69 1.2k
Mingyuan Zhang China 17 605 0.5× 121 0.2× 355 0.8× 74 0.4× 42 0.4× 49 1.2k
Guiqing Li China 19 600 0.5× 138 0.3× 264 0.6× 100 0.6× 44 0.4× 120 1.6k
Zhan Li China 25 283 0.2× 448 0.9× 368 0.8× 265 1.6× 21 0.2× 94 1.7k
Qi Wei China 17 783 0.7× 204 0.4× 253 0.6× 143 0.9× 60 0.5× 135 1.8k
Qu Wang China 25 605 0.5× 190 0.4× 251 0.6× 63 0.4× 154 1.4× 127 1.6k
Yuantao Chen China 24 1.3k 1.1× 241 0.5× 318 0.7× 31 0.2× 63 0.6× 56 2.1k

Countries citing papers authored by Guangrun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangrun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangrun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangrun Wang. A scholar is included among the top collaborators of Guangrun Wang 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 Guangrun Wang. Guangrun Wang 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.
Schaaf, Lars L., et al.. (2025). Implicit neural representations for chemical reaction paths. The Journal of Chemical Physics. 163(3).
2.
Li, Changlin, et al.. (2025). BossNAS Family: Block-Wisely Self-Supervised Neural Architecture Search. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3500–3514. 1 indexed citations
3.
He, Zijian, Ning Yang, Yipeng Qin, et al.. (2025). VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction. ORCA Online Research @Cardiff (Cardiff University). 26388–26398. 1 indexed citations
4.
Wang, Guangrun, Yixing Lao, Peng Chen, et al.. (2024). LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. 390–398. 10 indexed citations
5.
Wang, Guangrun, et al.. (2024). NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1156–1164.
6.
Wang, Guangrun, et al.. (2024). Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments. IEEE Transactions on Visualization and Computer Graphics. 31(9). 5935–5947. 2 indexed citations
7.
Wang, Guangrun, Yixing Lao, Peng Chen, et al.. (2024). AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. 21230–21240. 2 indexed citations
8.
Wang, Guangrun, et al.. (2022). Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7686–7695. 25 indexed citations
9.
Ren, Pengzhen, Changlin Li, Guangrun Wang, et al.. (2022). Beyond Fixation: Dynamic Window Visual Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11977–11987. 29 indexed citations
10.
Li, Changlin, Bohan Zhuang, Guangrun Wang, et al.. (2022). Automated Progressive Learning for Efficient Training of Vision Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12476–12486. 20 indexed citations
11.
Li, Changlin, Guangrun Wang, Bing Wang, et al.. (2021). Dynamic Slimmable Network. 8603–8613. 84 indexed citations
12.
Wang, Guangrun, et al.. (2021). Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5401–5415. 11 indexed citations
13.
Wang, Guangrun, Guangcong Wang, Xujie Zhang, et al.. (2020). Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark. IEEE Transactions on Neural Networks and Learning Systems. 32(5). 2142–2156. 29 indexed citations
14.
Wang, Guangcong, Jianhuang Lai, Wenqi Liang, & Guangrun Wang. (2020). Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification. 10565–10574. 53 indexed citations
15.
Li, Changlin, Jiefeng Peng, Guangrun Wang, et al.. (2020). Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. RMIT Research Repository (RMIT University Library). 1986–1995. 111 indexed citations
16.
Wang, Guangrun, et al.. (2019). Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark.. arXiv (Cornell University). 1 indexed citations
17.
Wang, Guangrun, Jiefeng Peng, Ping Luo, Xinjiang Wang, & Liang Lin. (2018). Kalman Normalization: Normalizing Internal Representations Across Network Layers. Neural Information Processing Systems. 31. 21–31. 17 indexed citations
18.
Luo, Ping, Guangrun Wang, Liang Lin, & Xiaogang Wang. (2017). Deep Dual Learning for Semantic Image Segmentation. 2737–2745. 60 indexed citations
19.
Ding, Shengyong, Liang Lin, Guangrun Wang, & Hongyang Chao. (2015). Deep feature learning with relative distance comparison for person re-identification. Pattern Recognition. 48(10). 2993–3003. 470 indexed citations breakdown →
20.
Wang, Guangrun. (2009). Progress of flue gas purification and sulfur recovery using TSA technology by carbonaceous methods in moving beds. Huagong jinzhan. 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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