Hang Lei

1.4k citations
71 papers · 924 · h-index 18

Impact in

Papers in

Hang Lei

59 papers receiving 911 citations

Peers

Hang Lei
Comparison fields: 5 of 114
  • Industrial and Manufacturing Engineering 185
  • Environmental Engineering 115
  • Computational Theory and Mathematics 127
  • Aerospace Engineering 191
  • Cancer Research 75
Replace Hongquan Xu with:
Hongquan Xu United States
E.N. Pistikopoulos United Kingdom
Qianqian Yang China
Ying Hou China
Matthew J. Ellis United States
Tengfei Zhang China
Li Ruan China
Yufeng Chen China
Hang Lei relative to Hongquan Xu United States Hongquan Xu's profile →
Citations per field
00.5×10×12.8×
Hongquan Xu · 1×
Citations per year

Countries citing papers authored by Hang Lei

Since Specialization
Citations

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

Fields of papers citing papers by Hang Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018112
2 201770
3 201462
4 201447
5 201739
6 202136
7 202434
8 201334
9 202031
10 201831
11 202129
12 202129
13 202326
14 202126
15 201423
16 201621
17 202021
18 202118
19 202317
20 201717

About Hang Lei

Hang Lei is a scholar working on Molecular Biology, Artificial Intelligence, Hematology, Information Systems and Computational Theory and Mathematics, having authored 71 papers that have together received 924 indexed citations. Recurring topics across this work include Blood groups and transfusion (9 papers), Petri Nets in System Modeling (6 papers), RNA modifications and cancer (6 papers), Blockchain Technology Applications and Security (5 papers), Scheduling and Optimization Algorithms (5 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers), Adsorption and biosorption for pollutant removal (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (185 citations), Environmental Engineering (115 citations), Computational Theory and Mathematics (127 citations), Aerospace Engineering (191 citations) and Cancer Research (75 citations). Hang Lei has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Keyi Xing, Libin Han, Dai Zhou, Yan Bao, Zhaolong Han, Ning Ma, Caiyong Chen, Fuli Xiong, Feng Wang and Kai Zhang. Their work appears in journals such as Transfusion, Colloids and Surfaces A Physicochemical and Engineering Aspects, Frontiers in Cell and Developmental Biology, Vox Sanguinis and Frontiers in Immunology.

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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