Hongwei Yang

1.2k total citations · 2 hit papers
60 papers, 816 citations indexed

About

Hongwei Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hongwei Yang has authored 60 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Hongwei Yang's work include Domain Adaptation and Few-Shot Learning (9 papers), Machine Learning and ELM (8 papers) and Privacy-Preserving Technologies in Data (8 papers). Hongwei Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Machine Learning and ELM (8 papers) and Privacy-Preserving Technologies in Data (8 papers). Hongwei Yang collaborates with scholars based in China, Australia and Taiwan. Hongwei Yang's co-authors include Lina Zhao, Mengmeng Zhang, Wei Li, Weizhe Zhang, Hui He, Xiaochun Cao, Yan Wang, Desheng Wang, Xiaoxiong Zhong and Qiong Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Hongwei Yang

52 papers receiving 781 citations

Hit Papers

HSI-BERT: Hyperspectral Image Classification Using the Bi... 2019 2026 2021 2023 2019 2024 50 100 150 200 250

Peers

Hongwei Yang
Comparison fields: 5 of 108
  • Artificial Intelligence 251
  • Media Technology 238
  • Atmospheric Science 153
  • Computer Vision and Pattern Recognition 134
  • Computer Networks and Communications 77
Replace Xiaojun Yang with:
Xiaojun Yang China
Vassilios Chatzis Greece
Rachid Hedjam Canada
Weiqiang Wang China
Adolfo Martínez-Usó Spain
Victor-Emil Neagoe Romania
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Xiaojun Yang China View profile →
Citations per field, relative to Hongwei Yang
Hongwei Yang · 1×
Citations per year, relative to Hongwei Yang
Hongwei Yang · 1×

Countries citing papers authored by Hongwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Yang. A scholar is included among the top collaborators of Hongwei 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 Hongwei Yang. Hongwei Yang 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
# Work Indexed citations
1 0
2 0
3 5
4
Multi-Source and Multi-modal Deep Network Embedding for Cross-Network Node Classification breakdown →
58
5 0
6 2
7 2
8 1
9 2
10 2
11 3
12 9
13 55
14 14
15 10
16 8
17 92
18 0
19 3
20
The Influence of Grid Size of Reservoir Model on Its Accuracy
0

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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