Zhanpeng Jin

8.0k total citations · 1 hit paper
267 papers, 6.1k citations indexed

About

Zhanpeng Jin is a scholar working on Mechanical Engineering, General Materials Science and Materials Chemistry. According to data from OpenAlex, Zhanpeng Jin has authored 267 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Mechanical Engineering, 62 papers in General Materials Science and 59 papers in Materials Chemistry. Recurrent topics in Zhanpeng Jin's work include Intermetallics and Advanced Alloy Properties (71 papers), Metallurgical and Alloy Processes (61 papers) and EEG and Brain-Computer Interfaces (33 papers). Zhanpeng Jin is often cited by papers focused on Intermetallics and Advanced Alloy Properties (71 papers), Metallurgical and Alloy Processes (61 papers) and EEG and Brain-Computer Interfaces (33 papers). Zhanpeng Jin collaborates with scholars based in China, United States and Egypt. Zhanpeng Jin's co-authors include Yong Du, Huashan Liu, Sarah Laszlo, Maria V. Ruiz-Blondet, Qiong Gui, Wenyao Xu, Weiping Gong, Honghui Xu, Baiyun Huang and Zhaohui Yuan and has published in prestigious journals such as Advanced Functional Materials, Journal of the American Ceramic Society and Materials Science and Engineering A.

In The Last Decade

Zhanpeng Jin

258 papers receiving 5.8k citations

Hit Papers

Diffusion coefficients of some solutes in fcc and liquid ... 2003 2026 2010 2018 2003 250 500 750

Peers

Zhanpeng Jin
Comparison fields: 5 of 159
  • Mechanical Engineering 2.7k
  • Materials Chemistry 1.9k
  • Aerospace Engineering 1.2k
  • Biomedical Engineering 1.1k
  • Cognitive Neuroscience 860
Ramanathan Subramanian India
Somaya Al-Máadeed Qatar
Chao Lu Singapore
Mikko A. Uusitalo Finland
Javad Rafiee United States
Carlo Menon Canada
Yu Liu China
Yusheng Li China
Steve Beeby United Kingdom
Feng Feng China
Ramanathan Subramanian India View profile →
Citations per field, relative to Zhanpeng Jin
Zhanpeng Jin · 1×
Citations per year, relative to Zhanpeng Jin
Zhanpeng Jin · 1×

Countries citing papers authored by Zhanpeng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Zhanpeng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanpeng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhanpeng Jin. A scholar is included among the top collaborators of Zhanpeng Jin 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 Zhanpeng Jin. Zhanpeng Jin 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
# Work Indexed citations
1 4
2 0
3 1
4 2
5 12
6 31
7 9
8 11
9 56
10 16
11 256
12
Brainprint: Identifying Unique Features of Neural Activity with Machine Learning
11
13 60
14 5
15 12
16
Thermodynamic Calculation of the SrO-Nb2O5 System
3
17 51
18 4
19 3
20 1

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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2026