Cheng Qian

2.6k citations
88 papers · 1.9k indexed · 2 hit papers · h-index 23
Topics
GaN-based semiconductor devices and materials (27 papers)Advanced Battery Technologies Research (13 papers)Engineering Applied Research (10 papers)

In The Last Decade

Cheng Qian

84 papers receiving 1.8k citations

Hit Papers

A CNN-SAM-LSTM hybrid neural network for multi-state esti...20242026202520242025204060

Peers

Cheng Qian
Comparison fields: 5 of 131
  • Electrical and Electronic Engineering 893
  • Automotive Engineering 548
  • Mechanical Engineering 291
  • Condensed Matter Physics 279
  • Control and Systems Engineering 213
Replace Fan Ye with:
Fan Ye China
Christopher H. T. Lee Singapore
Weiguo Wang China
Xiaoyan Huang China
Yang Zhong China
Sang‐Soo Lee South Korea
N.N. Ekere United Kingdom
Alexander Warnecke Germany
Cheng Qian relative to Fan Ye China Fan Ye's profile →
Citations per field
00.5×7.2×
Fan Ye · 1×
Citations per year

Countries citing papers authored by Cheng Qian

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Qian. A scholar is included among the top collaborators of Cheng Qian 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 Cheng Qian. Cheng Qian 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 6
2
Uneven internal SOC distribution estimation of lithium-ion batteries using ultrasonic transmission signals: A new data screening technique and an improved deep residual networkbreakdown →
20
3
A CNN-SAM-LSTM hybrid neural network for multi-state estimation of lithium-ion batteries under dynamical operating conditionsbreakdown →
62
4 1
5 10
6 8
7 135
8 22
9 45
10 26
11 20
12 15
13 3
14 4
15 22
16 46
17 6
18 22
19 12
20 28

About Cheng Qian

Cheng Qian is a scholar working on Condensed Matter Physics, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include GaN-based semiconductor devices and materials (27 papers), Advanced Battery Technologies Research (13 papers) and Engineering Applied Research (10 papers). The work is most often cited by research in Automotive Engineering (548 citations), Condensed Matter Physics (279 citations) and Safety, Risk, Reliability and Quality (173 citations). Cheng Qian has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Guoqi Zhang, Jiajie Fan, Xuejun Fan, Yi Ren, Bo Sun, Zili Wang, Qiang Feng, Bo Sun, Binghui Xu and Hongyu Tang. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Journal of Power Sources.

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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