Yi Ren

313 papers receiving 5.6k citations

Yi Ren's Hit Papers

A CNN-SAM-LSTM hybrid neural network for multi-state estimation of lithium-ion batteries under dynamical operating conditions 2024 · 78 citations
780+1+3Years since publication50100150

Peers

Yi Ren
Comparison fields: 5 of 181
  • Safety, Risk, Reliability and Quality 798
  • Statistics, Probability and Uncertainty 500
  • Automotive Engineering 836
  • Software 227
  • Catalysis 216
Replace Bo Sun with:
Bo Sun China
Liu Y China
Chen Lü China
Chao Hu United States
Xinyu Li China
David Flynn United Kingdom
Xin Zhang China
Hongchao Zhang China
Seung‐Chul Lee South Korea
Morten Lind Denmark
Yi Ren relative to Bo Sun China Bo Sun's profile →
Citations per field
00.5×2.8×
Bo Sun · 1×
Citations per year

Countries citing papers authored by Yi Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yi Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 344 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms
Hit paper breakdown →
2021198
2 2021174
3 2021170
4 2021146
5
Study on very long-term creep tests and nonlinear creep-damage constitutive model of salt rock
Hit paper breakdown →
2021143
6 2022109
7 2021105
8 201899
9 202196
10 201183
11 202282
12 202080
13 202379
14
A CNN-SAM-LSTM hybrid neural network for multi-state estimation of lithium-ion batteries under dynamical operating conditions
Hit paper breakdown →
202478
15 201973
16 199471
17 202164
18 201363
19 202262
20 201962

About Yi Ren

Yi Ren is a scholar working on Artificial Intelligence, Safety, Risk, Reliability and Quality, Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 344 papers that have together received 5.8k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (40 papers), Risk and Safety Analysis (31 papers), Software Reliability and Analysis Research (31 papers), Advanced Battery Technologies Research (23 papers), Security in Wireless Sensor Networks (16 papers), Cryptography and Data Security (15 papers), Cloud Computing and Resource Management (13 papers) and Fault Detection and Control Systems (13 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (798 citations), Statistics, Probability and Uncertainty (500 citations), Automotive Engineering (836 citations), Software (227 citations) and Catalysis (216 citations). Yi Ren has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Qiang Feng, Bo Sun, Bin Tang, Zili Wang, Dongming Fan, Cheng Qian, Mark Lautens, Quan Xia, Dezhen Yang and Dezhen Yang. Their work appears in journals such as Reliability Engineering & System Safety, Materials, IEEE Access, Eksploatacja i Niezawodnosc - Maintenance and Reliability and Energy.

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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