Honglei Su

1.1k total citations
21 papers, 652 citations indexed

About

Honglei Su is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Honglei Su has authored 21 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Honglei Su's work include 3D Shape Modeling and Analysis (13 papers), Image and Video Quality Assessment (10 papers) and Computer Graphics and Visualization Techniques (6 papers). Honglei Su is often cited by papers focused on 3D Shape Modeling and Analysis (13 papers), Image and Video Quality Assessment (10 papers) and Computer Graphics and Visualization Techniques (6 papers). Honglei Su collaborates with scholars based in China, United Kingdom and Canada. Honglei Su's co-authors include Qi Liu, Hui Yuan, Huan Yang, Junhui Hou, Zhou Wang, Raouf Hamzaoui, Zhengfang Duanmu, Wentao Liu, Yu Wang and Hao Liu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Cybernetics.

In The Last Decade

Honglei Su

20 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Honglei Su China 11 364 357 170 160 140 21 652
Vladyslav Zakharchenko United States 7 648 1.8× 385 1.1× 104 0.6× 367 2.3× 52 0.4× 8 805
Joan Llach United States 10 539 1.5× 301 0.8× 88 0.5× 288 1.8× 47 0.3× 21 703
Vittorio Baroncini Italy 9 640 1.8× 303 0.8× 88 0.5× 286 1.8× 47 0.3× 24 794
Maja Krivokuća United States 7 496 1.4× 403 1.1× 114 0.7× 372 2.3× 63 0.5× 14 669
Julien Philip United States 9 698 1.9× 316 0.9× 45 0.3× 526 3.3× 72 0.5× 14 835
Haggai Maron Israel 7 441 1.2× 280 0.8× 44 0.3× 183 1.1× 99 0.7× 16 670
Mathias Paulin France 14 270 0.7× 293 0.8× 43 0.3× 361 2.3× 42 0.3× 43 523
Roee Litman Israel 11 473 1.3× 363 1.0× 23 0.1× 103 0.6× 75 0.5× 15 610
Richard Tucker United States 10 1.0k 2.8× 247 0.7× 35 0.2× 558 3.5× 49 0.3× 16 1.1k
Naejin Kong South Korea 6 574 1.6× 51 0.1× 21 0.1× 111 0.7× 19 0.1× 7 707

Countries citing papers authored by Honglei Su

Since Specialization
Citations

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

Fields of papers citing papers by Honglei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honglei Su

This figure shows the co-authorship network connecting the top 25 collaborators of Honglei Su. A scholar is included among the top collaborators of Honglei Su 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 Honglei Su. Honglei Su 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.
Wang, Xu, et al.. (2025). COPP-Net: No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction. IEEE Transactions on Broadcasting. 71(4). 1079–1091. 2 indexed citations
2.
Liu, Qi, et al.. (2025). Perception-Weighted Multi-View Point Cloud Quality Assessment With Saliency-Guided Coverage Analysis. IEEE Signal Processing Letters. 32. 2903–2907.
3.
Su, Honglei, et al.. (2025). Energy-Adaptive Bitstream-Layer Model for Perceptual Quality Assessment of V-PCC Encoded 3D Point Clouds. IEEE Transactions on Image Processing. 34. 1285–1296. 3 indexed citations
4.
Su, Honglei, Yiyun Liu, Qi Liu, Hui Yuan, & Raouf Hamzaoui. (2025). Progressive Knowledge Transfer Network Based on Human Visual Perception Mechanism for No-Reference Point Cloud Quality Assessment. IEEE Transactions on Visualization and Computer Graphics. 31(10). 6915–6929. 3 indexed citations
5.
Su, Honglei, et al.. (2024). Point Cloud Quality Assessment Using Multi-Level Features. IEEE Access. 12. 47755–47767. 1 indexed citations
6.
Su, Honglei, et al.. (2024). No-Reference Bitstream-Based Perceptual Quality Assessment of Octree-Lifting Encoded 3D Point Clouds. IEEE Transactions on Visualization and Computer Graphics. 31(9). 5245–5258. 5 indexed citations
7.
Cheng, Jun, Xu Wang, Honglei Su, et al.. (2024). 3DTA: No-Reference 3D Point Cloud Quality Assessment With Twin Attention. IEEE Transactions on Multimedia. 26. 10489–10502. 19 indexed citations
8.
Cheng, Jun, Honglei Su, & Jari Korhonen. (2023). No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2023. 298–303. 7 indexed citations
9.
Su, Honglei, Qi Liu, Yu‐xin Liu, et al.. (2023). Bitstream-Based Perceptual Quality Assessment of Compressed 3D Point Clouds. IEEE Transactions on Image Processing. 32. 1815–1828. 25 indexed citations
10.
Su, Honglei, et al.. (2023). A linearly convergent self-adaptive gradient projection algorithm for sparse signal reconstruction in compressive sensing. AIMS Mathematics. 8(6). 14726–14746. 8 indexed citations
11.
Liu, Qi, Honglei Su, Zhengfang Duanmu, Wentao Liu, & Zhou Wang. (2022). Perceptual Quality Assessment of Colored 3D Point Clouds. IEEE Transactions on Visualization and Computer Graphics. 29(8). 3642–3655. 114 indexed citations
12.
Liu, Qi, et al.. (2022). No-Reference Bitstream-Layer Model for Perceptual Quality Assessment of V-PCC Encoded Point Clouds. IEEE Transactions on Multimedia. 25. 4533–4546. 29 indexed citations
13.
Wang, Yu, Zhou Wang, Qinghua Hu, Yucan Zhou, & Honglei Su. (2021). Hierarchical Semantic Risk Minimization for Large-Scale Classification. IEEE Transactions on Cybernetics. 52(9). 9546–9558. 12 indexed citations
14.
Liu, Qi, Hui Yuan, Honglei Su, et al.. (2021). PQA-Net: Deep No Reference Point Cloud Quality Assessment via Multi-View Projection. IEEE Transactions on Circuits and Systems for Video Technology. 31(12). 4645–4660. 126 indexed citations
15.
Yang, Huan, et al.. (2021). A full‐reference stereoscopic image quality assessment index based on stable aggregation of monocular and binocular visual features. IET Image Processing. 15(8). 1629–1643. 3 indexed citations
16.
Liu, Qi, Hui Yuan, Raouf Hamzaoui, et al.. (2021). Reduced Reference Perceptual Quality Model With Application to Rate Control for Video-Based Point Cloud Compression. IEEE Transactions on Image Processing. 30. 6623–6636. 171 indexed citations
17.
Su, Honglei, Lijun Chen, Jieru Chi, et al.. (2021). Layered Projection-Based Quality Assessment of 3D Point Clouds. IEEE Access. 9. 88108–88120. 20 indexed citations
18.
Liu, Qi, Hui Yuan, Raouf Hamzaoui, & Honglei Su. (2020). Coarse to Fine Rate Control For Region-Based 3D Point Cloud Compression. DMU Open Research Archive (De Montfort University). 1–6. 18 indexed citations
19.
Su, Honglei, Zhengfang Duanmu, Wentao Liu, Qi Liu, & Zhou Wang. (2019). Perceptual Quality Assessment of 3d Point Clouds. 3182–3186. 67 indexed citations
20.
Su, Honglei, et al.. (2017). Content‐based bitrate model for perceived compression distortion evaluation of mobile video services. IET Image Processing. 11(11). 1027–1033. 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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