Ling-Hao Han

16 total papers · 999 total citations
10 papers, 567 citations indexed

About

Ling-Hao Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ling-Hao Han has authored 10 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Ling-Hao Han's work include Advanced Image Processing Techniques (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Enhancement Techniques (3 papers). Ling-Hao Han is often cited by papers focused on Advanced Image Processing Techniques (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Enhancement Techniques (3 papers). Ling-Hao Han collaborates with scholars based in China, Singapore and United Kingdom. Ling-Hao Han's co-authors include Chunle Guo, Chongyi Li, Ming‐Ming Cheng, Chen Change Loy, Jinwei Gu, Jun Jiang, Xin Jin, Weidong Zhang, Zhi Chai and Qibin Hou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and arXiv (Cornell University).

In The Last Decade

Ling-Hao Han

10 papers receiving 550 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

2021 338 citations Chongyi Li, Chunle Guo et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Underwater Ranker: Learn Which Is Better and How to Be Better

2023 106 citations Chunle Guo, Xin Jin et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ling-Hao Han	514	174	54	31	20	10	567
Shuzhou Yang	555 1.1×	186 1.1×	31 0.6×	17 0.5×	37 1.9×	9	617
Hui Qian	511 1.0×	251 1.4×	41 0.8×	16 0.5×	4 0.2×	17	588
David Stutz	323 0.6×	136 0.8×	118 2.2×	41 1.3×	6 0.3×	15	596
Prashant W. Patil	526 1.0×	131 0.8×	44 0.8×	17 0.5×	9 0.5×	27	565
Mejdi Trimeche	535 1.0×	309 1.8×	18 0.3×	34 1.1×	6 0.3×	17	667
M.K. Ozkan	520 1.0×	231 1.3×	20 0.4×	12 0.4×	4 0.2×	11	577
Shunzhou Wang	570 1.1×	168 1.0×	149 2.8×	28 0.9×	3 0.1×	25	664
Wei‐Ting Chen	470 0.9×	176 1.0×	22 0.4×	16 0.5×	5 0.3×	25	540
Jiaao Zhang	626 1.2×	261 1.5×	9 0.2×	35 1.1×	6 0.3×	9	682
Rajeev Yasarla	536 1.0×	183 1.1×	47 0.9×	14 0.5×	4 0.2×	19	604

Countries citing papers authored by Ling-Hao Han

Since Specialization

Citations

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

Fields of papers citing papers by Ling-Hao Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling-Hao Han. 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 Ling-Hao Han. The network helps show where Ling-Hao Han may publish in the future.

Co-authorship network of co-authors of Ling-Hao Han

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

All Works

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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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