Haima Yang

996 citations
79 papers · 749 · h-index 14

Impact in

Papers in

Haima Yang

70 papers receiving 704 citations

Peers

Haima Yang
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 151
  • Artificial Intelligence 171
  • Electronic, Optical and Magnetic Materials 81
  • Modeling and Simulation 20
  • Electrical and Electronic Engineering 234
Replace Tao Shan with:
Tao Shan China
Dongmei Wu China
Maged Faihan Alotaibi Saudi Arabia
Jooyoung Choi South Korea
Xiaofeng Zhang China
Van Su Luong Vietnam
Kai Jiang China
Yunbo Shi China
Alan Myers United Kingdom
Shaolin Liao United States
Haima Yang relative to Tao Shan China Tao Shan's profile →
Citations per field
00.5×2×2.9×
Tao Shan · 1×
Citations per year

Countries citing papers authored by Haima Yang

Since Specialization
Citations

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

Fields of papers citing papers by Haima Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haima Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haima Yang Line = papers co-authored together Haima Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202278
2 202355
3 201955
4 202250
5 202046
6 202233
7 202131
8 202330
9 202127
10 201826
11 201924
12 202322
13 202322
14 201914
15 201912
16 200911
17 202311
18 20139
19 20228
20 20128

About Haima Yang

Haima Yang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering, Surfaces, Coatings and Films and Artificial Intelligence, having authored 79 papers that have together received 749 indexed citations. Recurring topics across this work include Photonic and Optical Devices (14 papers), Plasmonic and Surface Plasmon Research (13 papers), Advanced Fiber Optic Sensors (9 papers), Advanced Measurement and Detection Methods (9 papers), Optical Systems and Laser Technology (8 papers), Advanced Measurement and Metrology Techniques (8 papers), Anomaly Detection Techniques and Applications (6 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Artificial Intelligence (171 citations), Electronic, Optical and Magnetic Materials (81 citations), Modeling and Simulation (20 citations) and Electrical and Electronic Engineering (234 citations). Haima Yang has collaborated with scholars based in China, Finland and Italy. Frequent co-authors include Guohui Zeng, Dawei Zhang, Xing Hu, Jin Liu, Bo Huang, Jin Liu, Jin Liu, Jin Liu, Le Fu and Yingping Huang. Their work appears in journals such as Optik, Photonics, Applied Optics, Optics Express and Optics & Laser Technology.

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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