Xing Peng

77 papers receiving 999 citations

Peers

Xing Peng
Comparison fields: 5 of 108
  • Computational Mathematics 11
  • Discrete Mathematics and Combinatorics 58
  • Automotive Engineering 212
  • Pharmaceutical Science 97
  • Industrial and Manufacturing Engineering 158
Replace Ian T. Cameron with:
Ian T. Cameron Australia
Xiaoyu Liu China
Zhifang Yang China
Jingling Zhang China
Liyun Li China
Srinivas Palanki United States
Min‐Sen Chiu Singapore
Mark J. Willis United Kingdom
Darko Dimitrov Germany
Xing Peng relative to Ian T. Cameron Australia Ian T. Cameron's profile →
Citations per field
00.5×10×15×20.5×
Ian T. Cameron · 1×
Citations per year

Countries citing papers authored by Xing Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xing Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020151
2 2021138
3 2021138
4 202049
5 201944
6 201140
7 202339
8 201939
9 201934
10 202226
11 202022
12 201319
13 200418
14 202017
15 202016
16 202214
17 202113
18 202312
19 202011
20 20129

About Xing Peng

Xing Peng is a scholar working on Mechanical Engineering, Biomedical Engineering, Geometry and Topology, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 97 papers that have together received 1.0k indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (15 papers), Limits and Structures in Graph Theory (15 papers), Industrial Vision Systems and Defect Detection (14 papers), Graph theory and applications (13 papers), Advanced Graph Theory Research (12 papers), Additive Manufacturing and 3D Printing Technologies (12 papers), Advanced Surface Polishing Techniques (11 papers) and Optical measurement and interference techniques (6 papers). The work is most often cited by research in Computational Mathematics (11 citations), Discrete Mathematics and Combinatorics (58 citations), Automotive Engineering (212 citations), Pharmaceutical Science (97 citations) and Industrial and Manufacturing Engineering (158 citations). Xing Peng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lingbao Kong, Jun‐An Ma, Linyuan Lü, Fa‐Guang Zhang, Hao Wang, Jerry Ying Hsi Fuh, Guangxi Dong, Min Xu, Yao Chen and Ping Wang. Their work appears in journals such as Photonics, SIAM Journal on Discrete Mathematics, Discrete Mathematics, Nanomaterials and Optics Express.

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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