Hang Lü

452 citations
39 papers · 295 indexed · h-index 7
Topics
Advanced Neural Network Applications (12 papers)Parallel Computing and Optimization Techniques (9 papers)Interconnection Networks and Systems (6 papers)
Partner nations
ChinaUnited StatesRussia

In The Last Decade

Hang Lü

34 papers receiving 286 citations

Peers

Hang Lü
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 131
  • Artificial Intelligence 87
  • Electrical and Electronic Engineering 79
  • Hardware and Architecture 60
  • Signal Processing 52
Replace Daesung Kwon with:
Daesung Kwon South Korea
Giorgio Vassallo Italy
H. Schröder Germany
S. Hein United States
Takuya Kida Japan
Zheng Huang China
Jiayu Li United States
Donald D. Givone United States
Bryan Usevitch United States
Abhishek Basak United States
Hang Lü relative to Daesung Kwon South Korea Daesung Kwon's profile →
Citations per field
00.5×5.9×
Daesung Kwon · 1×
Citations per year

Countries citing papers authored by Hang Lü

Since Specialization
Citations

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

Fields of papers citing papers by Hang Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Lü. A scholar is included among the top collaborators of Hang Lü 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 Lü. Hang Lü 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
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 4
6 1
7 5
8 5
9 5
10 1
11 3
12 32
13 54
14 4
15 3
16 5
17 1
18 9
19 9
20 28

About Hang Lü

Hang Lü is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 39 papers that have together received 295 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Parallel Computing and Optimization Techniques (9 papers) and Interconnection Networks and Systems (6 papers). The work is most often cited by research in Hardware and Architecture (60 citations), Computer Vision and Pattern Recognition (131 citations) and Signal Processing (52 citations). Hang Lü has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Xiaowei Li, Ning Lin, John S. Todhunter, Liang Chang, Guihai Yan, Feng Pan, Xian Lin, Yinhe Han, Wen Gao and Gang Feng. Their work appears in journals such as IEEE Access, IEEE Transactions on Computers and International Journal of Control.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026