Chen Sun

808 total citations · 1 hit paper
32 papers, 550 citations indexed

About

Chen Sun is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Chen Sun has authored 32 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 18 papers in Mechanical Engineering and 4 papers in Mechanics of Materials. Recurrent topics in Chen Sun's work include Microstructure and Mechanical Properties of Steels (16 papers), Metal Alloys Wear and Properties (15 papers) and Metallurgy and Material Forming (4 papers). Chen Sun is often cited by papers focused on Microstructure and Mechanical Properties of Steels (16 papers), Metal Alloys Wear and Properties (15 papers) and Metallurgy and Material Forming (4 papers). Chen Sun collaborates with scholars based in China, Taiwan and United States. Chen Sun's co-authors include Hanghang Liu, Paixian Fu, Dianzhong Li, Ningyu Du, Yanfei Cao, Hongwei Liu, Hongwei Liu, Xiaoping Ma, Shuwen Zhao and Lili Han and has published in prestigious journals such as Nature Communications, Advanced Functional Materials and Small.

In The Last Decade

Chen Sun

27 papers receiving 542 citations

Hit Papers

Bimetallic nanoalloys planted on super-hydrophilic carbon... 2024 2026 2025 2024 25 50 75
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. Bimetallic nanoalloys planted on super-hydrophilic carbon nanocages featuring tip-intensified hydrogen evolution electrocatalysis
    2024 96 citations Linjie Zhang, Chen Sun et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chen Sun China 14 377 336 130 85 60 32 550
Mehran Zamani Iran 10 432 1.1× 360 1.1× 193 1.5× 14 0.2× 79 1.3× 18 518
Vikash Kumar India 7 234 0.6× 126 0.4× 34 0.3× 66 0.8× 121 2.0× 12 422
Hongying Yu China 12 239 0.6× 257 0.8× 130 1.0× 97 1.1× 213 3.5× 22 480
Hongshan Zhao China 14 452 1.2× 526 1.6× 118 0.9× 18 0.2× 85 1.4× 50 702
Wenbin Kan China 12 409 1.1× 308 0.9× 40 0.3× 139 1.6× 57 0.9× 20 579
Rongbin Li China 12 272 0.7× 174 0.5× 93 0.7× 21 0.2× 79 1.3× 36 406
Guojun Yu China 12 293 0.8× 354 1.1× 37 0.3× 26 0.3× 90 1.5× 23 572
Mengchao Wang China 13 222 0.6× 205 0.6× 164 1.3× 108 1.3× 126 2.1× 26 445
Jaeyeong Park South Korea 13 540 1.4× 273 0.8× 177 1.4× 6 0.1× 31 0.5× 31 636

Countries citing papers authored by Chen Sun

Since Specialization
Citations

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

Fields of papers citing papers by Chen Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Sun. A scholar is included among the top collaborators of Chen Sun 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 Chen Sun. Chen Sun 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.
Xie, Kun, Chen Sun, Yanfei Cao, et al.. (2025). Revisiting the model for austenite grain size of M50 steel coupled with the carbide dissolution behavior. Journal of Materials Research and Technology. 37. 3182–3192.
2.
3.
Zhang, Linjie, Man Li, Chen Sun, et al.. (2025). A Hydrazine‒Water Galvanic Cell‐Inspired Self‐Powered High‐Rate Hydrogen Production via Overall Hydrazine Electrosplitting. Advanced Functional Materials. 35(19). 8 indexed citations
4.
Jin, Gang, et al.. (2025). Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving. IEEE Robotics and Automation Letters. 10(12). 12772–12779.
5.
Sun, Chen, et al.. (2025). Pt‐Skin Coated PtNi Alloy in Carbon Nanoshells for Enhanced Hydrogen Evolution Activity and Durability. Small. 21(18). e2503294–e2503294. 3 indexed citations
6.
7.
Liu, Dong-Rong, Yanfei Cao, Hongwei Liu, et al.. (2024). Macro and Micro Segregations and Prediction of Carbide Equivalent Size in Vacuum Arc Remelting of M50 Steel via Simulations and Experiments. Metallurgical and Materials Transactions A. 55(4). 1081–1097. 3 indexed citations
8.
9.
Sun, Chen, Yue Wang, Peng Wang, et al.. (2024). Manganese dioxide decorated kiwi peel powder for efficient removal of lead from aqueous solutions, blood and Traditional Chinese Medicine extracts. Environmental Research. 249. 118360–118360. 2 indexed citations
10.
Zhang, Linjie, Chen Sun, Dongdong Xiao, et al.. (2024). Bimetallic nanoalloys planted on super-hydrophilic carbon nanocages featuring tip-intensified hydrogen evolution electrocatalysis. Nature Communications. 15(1). 7179–7179. 96 indexed citations breakdown →
11.
Sun, Chen, et al.. (2024). Time series clustering of dynamical systems via deterministic learning. International Journal of Machine Learning and Cybernetics. 15(7). 2761–2779. 3 indexed citations
12.
Liu, Hanghang, Hui Ma, Ningyu Du, et al.. (2023). Probing rare earth segregation in steels. Scripta Materialia. 230. 115407–115407. 18 indexed citations
13.
14.
Du, Ningyu, Hanghang Liu, Yanfei Cao, et al.. (2022). In situ investigation of the fracture of primary carbides and its mechanism in M50 steel. Materials Characterization. 186. 111822–111822. 36 indexed citations
15.
Cao, Yanfei, Dianzhong Li, Yun Chen, et al.. (2022). On the Mechanism of Steel Homogenization via Rare Earth Addition: Experimental Characterization and Numerical Simulation. Metallurgical and Materials Transactions B. 53(3). 1858–1874. 9 indexed citations
16.
Liu, Hanghang, Paixian Fu, Hongwei Liu, et al.. (2022). Simultaneously enhancing strength and toughness of medium-carbon martensitic steel via nano precipitates and fine-grained structure. Materials Science and Engineering A. 842. 143030–143030. 22 indexed citations
17.
Du, Ningyu, Hanghang Liu, Yanfei Cao, et al.. (2021). Formation mechanism of MC and M2C primary carbides in as-cast M50 bearing steel. Materials Characterization. 174. 111011–111011. 56 indexed citations
18.
Sun, Chen, Paixian Fu, Hongwei Liu, et al.. (2020). The Effect of Lath Martensite Microstructures on the Strength of Medium-Carbon Low-Alloy Steel. Crystals. 10(3). 232–232. 38 indexed citations
19.
Liu, Hanghang, Paixian Fu, Hongwei Liu, et al.. (2017). Microstructure evolution and mechanical properties in 718H pre-hardened mold steel during tempering. Materials Science and Engineering A. 709. 181–192. 23 indexed citations
20.

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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