Jia-Ni Shen

1.1k citations
36 papers · 921 · h-index 16

Impact in

Papers in

Jia-Ni Shen

34 papers receiving 906 citations

Peers

Jia-Ni Shen
Comparison fields: 5 of 70
  • Automotive Engineering 582
  • Energy Engineering and Power Technology 39
  • Electrical and Electronic Engineering 620
  • Safety, Risk, Reliability and Quality 78
  • Control and Systems Engineering 159
Replace Ted Miller with:
Ted Miller United States
Peihang Xu China
Longxing Wu China
J.C. Viera Spain
M. González Spain
Hao Mu China
Oliver Bohlen Germany
Fei Gao China
Amrane Oukaour France
Jia-Ni Shen relative to Ted Miller United States Ted Miller's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jia-Ni Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jia-Ni Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia-Ni Shen. 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 Jia-Ni Shen. The network helps show where Jia-Ni Shen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017119
2 2017117
3 2015107
4 201870
5 198560
6 202146
7 200944
8 201341
9 202340
10 202138
11 202131
12 201626
13 202421
14 201719
15 202018
16 202417
17 198514
18 202413
19 202212
20 201511

About Jia-Ni Shen

Jia-Ni Shen is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Materials Chemistry and Energy Engineering and Power Technology, having authored 36 papers that have together received 921 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (21 papers), Advancements in Battery Materials (15 papers), Advanced Battery Materials and Technologies (9 papers), Electric Vehicles and Infrastructure (4 papers), Polymer crystallization and properties (3 papers), Reliability and Maintenance Optimization (3 papers), Hybrid Renewable Energy Systems (3 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Automotive Engineering (582 citations), Energy Engineering and Power Technology (39 citations), Electrical and Electronic Engineering (620 citations), Safety, Risk, Reliability and Quality (78 citations) and Control and Systems Engineering (159 citations). Jia-Ni Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zi‐Feng Ma, Yijun He, Qiankun Wang, Qiankun Wang, J. A. Sauer, Yijun He, Guobin Zhong, Guangwen Chen, Yuchao Zhao and Quan Yuan. Their work appears in journals such as Energy, Journal of Energy Storage, Chemical Engineering Science, Polymer and AIChE Journal.

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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