Changle Xiang

6k citations
222 papers · 4.8k · h-index 38

Impact in

Papers in

Changle Xiang

210 papers receiving 4.7k citations

Peers

Changle Xiang
Comparison fields: 5 of 73
  • Automotive Engineering 3k
  • Control and Systems Engineering 710
  • Civil and Structural Engineering 427
  • Aerospace Engineering 311
  • Computer Vision and Pattern Recognition 256
Replace Jeffrey L. Stein with:
Jeffrey L. Stein United States
Guang Li United Kingdom
Wanzhong Zhao China
Federico Cheli Italy
Saeid R. Habibi Canada
Weida Wang China
Yechen Qin China
Chris G. Manzie Australia
Cheng Siong Chin Singapore
Changle Xiang relative to Jeffrey L. Stein United States Jeffrey L. Stein's profile →
Citations per field
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Jeffrey L. Stein · 1×
Citations per year

Countries citing papers authored by Changle Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Changle Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 222 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020222
2 2016210
3 2020208
4 2017170
5 2018128
6 2019120
7 2021114
8 2021113
9 2019106
10 2019106
11 2017101
12 201896
13 201785
14 201885
15 201479
16 202376
17 202174
18 202067
19 201659
20 202159

About Changle Xiang

Changle Xiang is a scholar working on Automotive Engineering, Control and Systems Engineering, Aerospace Engineering, Mechanical Engineering and Civil and Structural Engineering, having authored 222 papers that have together received 4.8k indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (78 papers), Vehicle Dynamics and Control Systems (41 papers), Gear and Bearing Dynamics Analysis (27 papers), Aerospace and Aviation Technology (26 papers), Vibration Control and Rheological Fluids (20 papers), Adaptive Control of Nonlinear Systems (18 papers), Aerospace Engineering and Control Systems (15 papers) and Vehicle Noise and Vibration Control (9 papers). The work is most often cited by research in Automotive Engineering (3k citations), Control and Systems Engineering (710 citations), Civil and Structural Engineering (427 citations), Aerospace Engineering (311 citations) and Computer Vision and Pattern Recognition (256 citations). Changle Xiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weida Wang, Hui Liu, Lijin Han, Jibin Hu, Jun Ni, Chao Yang, Yechen Qin, Ningkang Yang, Bin Xu and H. Peng. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Energy, IEEE Transactions on Vehicular Technology, Mechanical Systems and Signal Processing and IEEE Transactions on Transportation Electrification.

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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