Ze Yang

587 citations
15 papers · 223 · h-index 8

Impact in

Papers in

    • Topic Modeling 7
    • Natural Language Processing Techniques 4
    • Text and Document Classification Technologies 3
    • Imbalanced Data Classification Techniques 2
    • Domain Adaptation and Few-Shot Learning 2
    • Sentiment Analysis and Opinion Mining 1
    • Multimodal Machine Learning Applications 3
    • Advanced Neural Network Applications 2

Ze Yang

14 papers receiving 219 citations

Peers

Ze Yang
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 89
  • Artificial Intelligence 134
  • Law 29
  • Political Science and International Relations 56
  • Media Technology 16
Replace Juliano Rabelo with:
Juliano Rabelo Canada
Conghui Zhu China
Cinthia Obladen de Almendra Freitas‍ Brazil
Rudy Becarelli Italy
Chong Teng China
Minghao Hu China
Keir Giles United Kingdom
Myung-Joon Kwon South Korea
Ze Yang relative to Juliano Rabelo Canada Juliano Rabelo's profile →
Citations per field
00.5×
Juliano Rabelo · 1×
Citations per year

Countries citing papers authored by Ze Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ze Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ze 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 Ze Yang Line = papers co-authored together Ze Yang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202064
2 201938
3 202238
4 201835
5 201912
6 20209
7 20219
8 20257
9 20183
10 20203
11 20192
12 20251
13 20231
14 20191
15 20250

About Ze Yang

Ze Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Organic Chemistry, Sociology and Political Science and Oceanography, having authored 15 papers that have together received 223 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers), Multimodal Machine Learning Applications (3 papers), Text and Document Classification Technologies (3 papers), Imbalanced Data Classification Techniques (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Artificial Intelligence (134 citations), Law (29 citations), Political Science and International Relations (56 citations) and Media Technology (16 citations). Ze Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yu Qiao, Xianyu Chen, Yali Wang, Jianzhuang Liu, Pengfei Wang, Shuzi Niu, Guosheng Lin, Chi Zhang, Yi Xu and Yongfeng Zhang. Their work appears in journals such as Remote Sensing, ChemElectroChem, Chemistry - A European Journal, IEEE Transactions on Image Processing and ACS Medicinal Chemistry Letters.

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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