Hanwei Zhu

916 total citations
25 papers, 526 citations indexed

About

Hanwei Zhu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Hanwei Zhu has authored 25 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 2 papers in Artificial Intelligence. Recurrent topics in Hanwei Zhu's work include Image and Video Quality Assessment (14 papers), Advanced Image Fusion Techniques (9 papers) and Image Enhancement Techniques (9 papers). Hanwei Zhu is often cited by papers focused on Image and Video Quality Assessment (14 papers), Advanced Image Fusion Techniques (9 papers) and Image Enhancement Techniques (9 papers). Hanwei Zhu collaborates with scholars based in China, Hong Kong and Canada. Hanwei Zhu's co-authors include Yuming Fang, Zhou Wang, Kede Ma, Yan Zeng, Zhengfang Duanmu, Shiqi Wang, Baoliang Chen, Shutao Li, Wenhui Jiang and Jiebin Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Hanwei Zhu

21 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanwei Zhu China 9 455 295 36 21 19 25 526
Haoning Wu Singapore 12 397 0.9× 140 0.5× 25 0.7× 24 1.1× 10 0.5× 38 533
Zhenqiang Ying China 9 686 1.5× 356 1.2× 26 0.7× 19 0.9× 19 1.0× 9 742
Seo-Won Ji South Korea 6 447 1.0× 221 0.7× 21 0.6× 8 0.4× 20 1.1× 12 502
YiChang Shih United States 9 613 1.3× 137 0.5× 28 0.8× 7 0.3× 21 1.1× 13 663
Domonkos Varga Hungary 12 358 0.8× 155 0.5× 24 0.7× 6 0.3× 11 0.6× 37 416
Jiebin Yan China 14 475 1.0× 248 0.8× 10 0.3× 28 1.3× 22 1.2× 47 515
Hai Jiang China 8 369 0.8× 136 0.5× 26 0.7× 10 0.5× 30 1.6× 12 403
Renting Liu China 7 252 0.6× 150 0.5× 17 0.5× 9 0.4× 19 1.0× 12 369
Baoliang Chen Hong Kong 12 405 0.9× 103 0.3× 11 0.3× 19 0.9× 24 1.3× 40 503
Gyeongmin Choe South Korea 10 513 1.1× 167 0.6× 31 0.9× 9 0.4× 77 4.1× 14 561

Countries citing papers authored by Hanwei Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Hanwei Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanwei Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Hanwei Zhu. A scholar is included among the top collaborators of Hanwei Zhu 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 Hanwei Zhu. Hanwei Zhu 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.
Zhu, Hanwei, et al.. (2025). Perceptual Quality Assessment of 360° Images Based on Generative Scanpath Representation. IEEE Transactions on Image Processing. 34. 4485–4499. 1 indexed citations
2.
Chen, Baoliang, et al.. (2025). Debiased Mapping for Full-Reference Image Quality Assessment. IEEE Transactions on Multimedia. 27. 2638–2649.
3.
Chen, Baoliang, et al.. (2024). Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment. IEEE Transactions on Image Processing. 33. 3227–3241. 3 indexed citations
4.
Zhu, Hanwei, et al.. (2024). 2AFC Prompting of Large Multimodal Models for Image Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12873–12878. 7 indexed citations
5.
Yang, Wenhan, et al.. (2024). Temporally Consistent Enhancement of Low-Light Videos via Spatial-Temporal Compatible Learning. International Journal of Computer Vision. 132(10). 4703–4723. 4 indexed citations
6.
Zhu, Hanwei, et al.. (2024). Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation. ACM Transactions on Multimedia Computing Communications and Applications. 20(12). 1–21. 1 indexed citations
7.
Zhu, Hanwei, et al.. (2024). Video Quality Assessment for Spatio-Temporal Resolution Adaptive Coding. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 6403–6415. 3 indexed citations
8.
Chen, Baoliang, et al.. (2023). Gap-Closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement. IEEE Transactions on Multimedia. 26. 3430–3443. 9 indexed citations
9.
Fang, Yuming, et al.. (2023). ScanDMM: A Deep Markov Model of Scanpath Prediction for 360° Images. 6989–6999. 19 indexed citations
10.
Zhu, Hanwei, et al.. (2023). Blockchain-enabled Decentralized Anonymous Crowdsourcing Based on Anonymous Payments. ANU Open Research (Australian National University). 1–2. 1 indexed citations
11.
Zhu, Hanwei, et al.. (2022). Learning Spatiotemporal Interactions for User-Generated Video Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 33(3). 1031–1042. 21 indexed citations
12.
Chen, Baoliang, et al.. (2022). No-Reference Image Quality Assessment by Hallucinating Pristine Features. IEEE Transactions on Image Processing. 31. 6139–6151. 20 indexed citations
13.
Liao, Xingran, Baoliang Chen, Hanwei Zhu, et al.. (2022). DeepWSD: Projecting Degradations in Perceptual Space to Wasserstein Distance in Deep Feature Space. Proceedings of the 30th ACM International Conference on Multimedia. 970–978. 18 indexed citations
14.
Lai, Yu‐Ying, Jiao Lin, Zipeng Zhang, et al.. (2022). TESTING GROUND CONDITIONS FOR EFFECTIVE BURIED SENSOR WIRELESS LORAWAN SIGNAL TRANSMISSION. SHILAP Revista de lepidopterología. XLVIII-4/W5-2022. 83–89.
15.
Fang, Yuming, Yan Zeng, Wenhui Jiang, Hanwei Zhu, & Jiebin Yan. (2021). Superpixel-Based Quality Assessment of Multi-Exposure Image Fusion for Both Static and Dynamic Scenes. IEEE Transactions on Image Processing. 30. 2526–2537. 20 indexed citations
16.
Zhu, Hanwei, et al.. (2020). Privacy-Preserving Camera-based Monitoring and Tracking System for Parking Spaces. ANU Open Research (Australian National University). 346–347. 4 indexed citations
17.
Fang, Yuming, Hanwei Zhu, Kede Ma, Zhou Wang, & Shutao Li. (2019). Perceptual Evaluation for Multi-Exposure Image Fusion of Dynamic Scenes. IEEE Transactions on Image Processing. 29. 1127–1138. 32 indexed citations
18.
Ma, Kede, Zhengfang Duanmu, Hanwei Zhu, Yuming Fang, & Zhou Wang. (2019). Deep Guided Learning for Fast Multi-Exposure Image Fusion. IEEE Transactions on Image Processing. 29. 2808–2819. 135 indexed citations
19.
Zhu, Hanwei & Michael Kirley. (2019). Deep Multi-agent Reinforcement Learning in a Common-Pool Resource System. 518. 142–149. 2 indexed citations
20.
Fang, Yuming, Yan Zeng, Hanwei Zhu, & Guangtao Zhai. (2019). Image Quality Assessment of Multi-exposure Image Fusion for Both Static and Dynamic Scenes. 442–447. 8 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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