He Yi

56 papers receiving 570 citations

Peers

He Yi
Comparison fields: 5 of 98
  • Software 115
  • Safety, Risk, Reliability and Quality 262
  • Statistics, Probability and Uncertainty 170
  • Statistics and Probability 119
  • Electrochemistry 40
Replace Sanghoon Lee with:
Sanghoon Lee South Korea
Francisco J. Torres Spain
John W. Fischer United States
Isabel Beichl United States
K. P. Brand Switzerland
W.R. Daasch United States
Martin Schreiber Germany
Denise R. Jones United States
Kentaro Tanaka Japan
Mohammad Bagher Ahmadi Iran
He Yi relative to Sanghoon Lee South Korea Sanghoon Lee's profile →
Citations per field
00.5×20×40×65.5×
Sanghoon Lee · 1×
Citations per year

Countries citing papers authored by He Yi

Since Specialization
Citations

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

Fields of papers citing papers by He Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201746
2 198943
3 201843
4 201237
5 199030
6 202027
7 201227
8 202126
9 201820
10 201619
11 202019
12 201918
13 199413
14 201812
15 201912
16 201812
17 201612
18 202012
19 202111
20 202311

About He Yi

He Yi is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Statistics and Probability, Software and Control and Systems Engineering, having authored 62 papers that have together received 587 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (27 papers), Statistical Distribution Estimation and Applications (16 papers), Probabilistic and Robust Engineering Design (10 papers), Software Reliability and Analysis Research (9 papers), Risk and Safety Analysis (8 papers), Advanced Battery Technologies Research (5 papers), Advanced Algorithms and Applications (3 papers) and Geomechanics and Mining Engineering (2 papers). The work is most often cited by research in Software (115 citations), Safety, Risk, Reliability and Quality (262 citations), Statistics, Probability and Uncertainty (170 citations), Statistics and Probability (119 citations) and Electrochemistry (40 citations). He Yi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Lirong Cui, N. Balakrishnan, Hongda Gao, Jingyuan Shen, Qingan Qiu, Kenneth J. Rothschild, Shuliang Zang, Kun Zhao, Yuyang Zhang and Yan Li. Their work appears in journals such as Reliability Engineering & System Safety, Probability in the Engineering and Informational Sciences, IEEE Transactions on Reliability, Computers & Industrial Engineering and Advances in Applied Probability.

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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