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
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Diffusion coefficients of some solutes in fcc and liquid Al: critical evaluation and correlation
    2003 768 citations Zhanpeng Jin et al. profile →

Peers

Zhanpeng Jin
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
Zhanpeng Jin
Citations per year, relative to Zhanpeng Jin Zhanpeng Jin (= 1×) peers Ramanathan Subramanian

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
1.
Farouk, Ahmed, et al.. (2025). Securing Tomorrow of Next-Generation Technologies with Biometrics, State-of-The-Art Techniques, Open Challenges, and Future Research Directions. Computer Science Review. 57. 100750–100750. 4 indexed citations
2.
Ying, Hao, et al.. (2025). Enhancing Alzheimer’s detection: VAE-augmented handwriting analysis. 7(2). 246–262.
3.
Adil, Muhammad, Aitizaz Ali, Ting Tin Tin, et al.. (2025). Quantum Computing and the Future of Healthcare Internet of Things Security: Challenges and Opportunities. IEEE Internet of Things Journal. 12(22). 46316–46346. 1 indexed citations
4.
Wu, Mingzhu, et al.. (2024). NeuroBCI: Multi-Brain to Multi-Robot Interaction Through EEG-Adaptive Neural Networks and Semantic Communications. IEEE Transactions on Mobile Computing. 23(12). 14622–14637. 2 indexed citations
5.
Adil, Muhammad, Houbing Song, Mian Ahmad Jan, et al.. (2024). UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions. ACM Computing Surveys. 56(10). 1–35. 12 indexed citations
6.
Adil, Muhammad, Muhammad Khurram Khan, Neeraj Kumar, et al.. (2024). Healthcare Internet of Things: Security Threats, Challenges, and Future Research Directions. IEEE Internet of Things Journal. 11(11). 19046–19069. 31 indexed citations
7.
Gao, Yang, et al.. (2023). SignRing. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(3). 1–29. 9 indexed citations
8.
Adil, Muhammad, Muhammad Khurram Khan, Ahmed Farouk, et al.. (2022). AI-Driven EEC for Healthcare IoT: Security Challenges and Future Research Directions. IEEE Consumer Electronics Magazine. 13(1). 39–47. 11 indexed citations
9.
Gao, Yang, Jack P. Lombardi, Tara P. Dhakal, et al.. (2019). Heart Monitor Using Flexible Capacitive ECG Electrodes. IEEE Transactions on Instrumentation and Measurement. 69(7). 4314–4323. 56 indexed citations
10.
Gao, Yang, et al.. (2017). CamBP. 524–529. 16 indexed citations
11.
Khan, Yasser, Mohit Garg, Qiong Gui, et al.. (2016). Flexible Hybrid Electronics: Direct Interfacing of Soft and Hard Electronics for Wearable Health Monitoring. Advanced Functional Materials. 26(47). 8764–8775. 256 indexed citations
12.
Ruiz-Blondet, Maria V., et al.. (2014). Brainprint: Identifying Unique Features of Neural Activity with Machine Learning. Cognitive Science. 36(36). 11 indexed citations
13.
Laszlo, Sarah, et al.. (2014). A direct comparison of active and passive amplification electrodes in the same amplifier system. Journal of Neuroscience Methods. 235. 298–307. 60 indexed citations
14.
Masset, Patrick J., et al.. (2012). Microstructures of Erbium Modified Aluminum-Copper Alloys. Practical Metallography. 49(7). 396–411. 5 indexed citations
15.
Alemzadeh, Homa, Zhanpeng Jin, Zbigniew Kalbarczyk, & R.K. Iyer. (2011). An embedded reconfigurable architecture for patient-specific multi-paramater medical monitoring. PubMed. 2011. 1896–1900. 12 indexed citations
16.
Yang, Ying, et al.. (2009). Thermodynamic Calculation of the SrO-Nb2O5 System. Journal of Material Science and Technology. 15(3). 203–207. 3 indexed citations
17.
18.
Li, Zhihua, Zhanpeng Jin, & Huashan Liu. (2003). Thermodynamic assessment of Au-Zr system. Journal of Central South University of Technology. 10(2). 94–97. 4 indexed citations
19.
Jin, Zhanpeng, et al.. (1999). Study on the structure and properties of high chromium white cast iron and its tempering standard. Journal of Central South University of Technology. 6(1). 8–12. 3 indexed citations
20.
Xia, Changqing & Zhanpeng Jin. (1999). Examination of carbon diffusion in niobium clad steel composite. Journal of Central South University of Technology. 6(1). 1–3. 1 indexed citations

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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