Yinhe Han

3.6k total citations · 1 hit paper
188 papers, 2.4k citations indexed

About

Yinhe Han is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Yinhe Han has authored 188 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Electrical and Electronic Engineering, 93 papers in Hardware and Architecture and 76 papers in Computer Networks and Communications. Recurrent topics in Yinhe Han's work include Parallel Computing and Optimization Techniques (68 papers), Advanced Memory and Neural Computing (66 papers) and Interconnection Networks and Systems (48 papers). Yinhe Han is often cited by papers focused on Parallel Computing and Optimization Techniques (68 papers), Advanced Memory and Neural Computing (66 papers) and Interconnection Networks and Systems (48 papers). Yinhe Han collaborates with scholars based in China, United States and Australia. Yinhe Han's co-authors include Xiaowei Li, Ying Wang, Huawei Li, Xiaohong Chen, Guihai Yan, Jiajun Li, Binzhang Fu, Wenyan Lü, Shijun Gong and Xingqi Zou and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Neurocomputing and IEEE Transactions on Computers.

In The Last Decade

Yinhe Han

174 papers receiving 2.3k citations

Hit Papers

Breaking the von Neumann bottleneck: architecture-level p... 2021 2026 2022 2024 2021 50 100 150

Peers

Yinhe Han
Comparison fields: 5 of 81
  • Electrical and Electronic Engineering 1.6k
  • Hardware and Architecture 890
  • Computer Networks and Communications 829
  • Computer Vision and Pattern Recognition 635
  • Artificial Intelligence 392
Replace Rangharajan Venkatesan with:
Rangharajan Venkatesan United States
Lei Jiang United States
Akash Kumar Germany
Xiaoyang Zeng China
Cong Xu China
Yvon Savaria Canada
Lionel Torres France
Jishen Zhao United States
Massimo Alioto Singapore
Ali Afzali‐Kusha Iran
Rangharajan Venkatesan United States View profile →
Citations per field, relative to Yinhe Han
Yinhe Han · 1×
Citations per year, relative to Yinhe Han
Yinhe Han · 1×

Countries citing papers authored by Yinhe Han

Since Specialization
Citations

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

Fields of papers citing papers by Yinhe Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinhe Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yinhe Han. A scholar is included among the top collaborators of Yinhe Han 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 Yinhe Han. Yinhe Han 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 0
4 2
5 1
6 3
7 2
8 0
9 1
10 3
11 3
12 2
13 5
14 2
15 6
16 4
17 5
18 37
19 11
20 2

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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