Hang Yan

648 total citations · 1 hit paper
34 papers, 253 citations indexed

About

Hang Yan is a scholar working on Artificial Intelligence, Aerospace Engineering and Surgery. According to data from OpenAlex, Hang Yan has authored 34 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Aerospace Engineering and 3 papers in Surgery. Recurrent topics in Hang Yan's work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Privacy-Preserving Technologies in Data (3 papers). Hang Yan is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Privacy-Preserving Technologies in Data (3 papers). Hang Yan collaborates with scholars based in China, United States and Australia. Hang Yan's co-authors include Xipeng Qiu, Shimin Li, Hu Xiong, Shui Yu, Min Zhang, Yu Sun, Xiaonan Li, Lei Chen, Xiao Hou and Wu JunXiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of Organic Chemistry.

In The Last Decade

Hang Yan

25 papers receiving 245 citations

Hit Papers

When Federated Learning Meets Privacy-Preserving Computation 2024 2026 2025 2024 25 50 75

Peers

Hang Yan
Comparison fields: 5 of 81
  • Artificial Intelligence 149
  • Experimental and Cognitive Psychology 51
  • Computer Networks and Communications 27
  • Computer Vision and Pattern Recognition 23
  • Electrical and Electronic Engineering 21
Replace Xingyu Cai with:
Xingyu Cai United States
Xuefeng Jiang China
Manfred Eppe Germany
Rengang Li China
Duzhen Zhang China
S. Karpagavalli India
Xiaochao Fan China
Dongqi Cai China
Changliang Li China
Xiuyi Chen China
Xingyu Cai United States View profile →
Citations per field, relative to Hang Yan
Hang Yan · 1×
Citations per year, relative to Hang Yan
Hang Yan · 1×

Countries citing papers authored by Hang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yan. A scholar is included among the top collaborators of Hang Yan 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 Hang Yan. Hang Yan 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 2
3 0
4 2
5 2
6 4
7 7
8 6
9
When Federated Learning Meets Privacy-Preserving Computation breakdown →
85
10 1
11 20
12 2
13 0
14 3
15 0
16 2
17 5
18 3
19 6
20 1

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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