Hongbin Sun

444 total citations
4 papers, 126 citations indexed

About

Hongbin Sun is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Hongbin Sun has authored 4 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Hongbin Sun's work include Handwritten Text Recognition Techniques (2 papers), IoT and Edge/Fog Computing (1 paper) and Image Retrieval and Classification Techniques (1 paper). Hongbin Sun is often cited by papers focused on Handwritten Text Recognition Techniques (2 papers), IoT and Edge/Fog Computing (1 paper) and Image Retrieval and Classification Techniques (1 paper). Hongbin Sun collaborates with scholars based in China, Hong Kong and Singapore. Hongbin Sun's co-authors include Liang Lin, Xiaogang Wang, Jingyu Li, Yuying Ge, Ruimao Zhang, Ping Luo, Xiaoyu Yue, Wei Zhang, Zhanghui Kuang and Jiaqi Duan and has published in prestigious journals such as IEEE Transactions on Image Processing and China Communications.

In The Last Decade

Hongbin Sun

4 papers receiving 123 citations

Peers

Hongbin Sun
Yuning Du China
Haifa F. Alhasson Saudi Arabia
Sina Honari Switzerland
Fan Feng China
Yuning Du China
Hongbin Sun
Citations per year, relative to Hongbin Sun Hongbin Sun (= 1×) peers Yuning Du

Countries citing papers authored by Hongbin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Hongbin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbin Sun. A scholar is included among the top collaborators of Hongbin Sun 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 Hongbin Sun. Hongbin Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Wang, Hui, et al.. (2024). Deep reinforcement learning-based task offloading and service migrating policies in service caching-assisted mobile edge computing. China Communications. 21(4). 88–103. 2 indexed citations
2.
Kuang, Zhanghui, Hongbin Sun, Zhizhong Li, et al.. (2021). MMOCR. 3791–3794. 31 indexed citations
3.
Zhang, Ruimao, Jingyu Li, Hongbin Sun, et al.. (2019). SCAN: Self-and-Collaborative Attention Network for Video Person Re-Identification. IEEE Transactions on Image Processing. 28(10). 4870–4882. 68 indexed citations
4.
Duan, Jiaqi, Zhanghui Kuang, Xiaoyu Yue, et al.. (2019). Geometry Normalization Networks for Accurate Scene Text Detection. 9136–9145. 25 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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