Meihong Yang

57 total papers · 878 total citations
43 papers, 553 citations indexed

About

Meihong Yang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Meihong Yang has authored 43 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in Meihong Yang's work include Caching and Content Delivery (7 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Digital Media Forensic Detection (5 papers). Meihong Yang is often cited by papers focused on Caching and Content Delivery (7 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Digital Media Forensic Detection (5 papers). Meihong Yang collaborates with scholars based in China, United States and Israel. Meihong Yang's co-authors include Pekka Marttinen, Xiang Li, Neeraj Kumar, Prayag Tiwari, Yazhou Zhang, Bin Hu, Dawei Song, Zhigang Zhao, Dexin Ma and Xinchang Zhang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Communications Magazine and IEEE Access.

In The Last Decade

Meihong Yang

34 papers receiving 526 citations

Hit Papers

EEG Based Emotion Recogni... 2022 2026 2023 2024 2022 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Meihong Yang 197 173 105 90 84 43 553
Marko Horvat 144 0.7× 205 1.2× 211 2.0× 152 1.7× 80 1.0× 66 690
Xinchun Cui 287 1.5× 256 1.5× 82 0.8× 36 0.4× 59 0.7× 28 540
Myriam Hernández-Álvarez 181 0.9× 113 0.7× 156 1.5× 82 0.9× 44 0.5× 27 531
Bivas Mitra 62 0.3× 144 0.8× 95 0.9× 132 1.5× 48 0.6× 84 553
Kwang-Eun Ko 138 0.7× 94 0.5× 129 1.2× 49 0.5× 196 2.3× 67 534
Rajdeep Chatterjee 142 0.7× 49 0.3× 162 1.5× 45 0.5× 120 1.4× 58 531
Xin Li 79 0.4× 174 1.0× 82 0.8× 87 1.0× 99 1.2× 51 533
Kathryn Kasmarik 127 0.6× 50 0.3× 219 2.1× 94 1.0× 103 1.2× 53 635
Abdulhameed Alelaiwi 74 0.4× 94 0.5× 119 1.1× 87 1.0× 232 2.8× 20 662
Hooman Samani 84 0.4× 66 0.4× 114 1.1× 88 1.0× 153 1.8× 68 661

Countries citing papers authored by Meihong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Meihong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meihong Yang

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026