Runsheng Li

1.8k total citations · 3 hit papers
51 papers, 1.3k citations indexed

About

Runsheng Li is a scholar working on Mechanical Engineering, Automotive Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Runsheng Li has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Mechanical Engineering, 22 papers in Automotive Engineering and 11 papers in Industrial and Manufacturing Engineering. Recurrent topics in Runsheng Li's work include Additive Manufacturing Materials and Processes (35 papers), Additive Manufacturing and 3D Printing Technologies (22 papers) and Welding Techniques and Residual Stresses (18 papers). Runsheng Li is often cited by papers focused on Additive Manufacturing Materials and Processes (35 papers), Additive Manufacturing and 3D Printing Technologies (22 papers) and Welding Techniques and Residual Stresses (18 papers). Runsheng Li collaborates with scholars based in China, Hong Kong and United States. Runsheng Li's co-authors include Haiou Zhang, Guilan Wang, Cheng Huang, Xushan Zhao, Youheng Fu, Gang Xiong, Hao Song, Chaolin Tan, Bonnie Attard and Jie Teng and has published in prestigious journals such as Journal of Cleaner Production, Chemical Engineering Journal and Journal of Colloid and Interface Science.

In The Last Decade

Runsheng Li

44 papers receiving 1.2k citations

Hit Papers

Review on field assisted metal additive manufacturing 2022 2026 2023 2024 2023 2022 2025 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runsheng Li China 21 974 481 269 170 99 51 1.3k
Vittorio Alfieri Italy 19 1.0k 1.1× 613 1.3× 290 1.1× 98 0.6× 129 1.3× 57 1.2k
Xunpeng Qin China 23 1.2k 1.3× 335 0.7× 164 0.6× 204 1.2× 80 0.8× 84 1.4k
Xiling Yao Singapore 22 1.5k 1.5× 981 2.0× 464 1.7× 141 0.8× 126 1.3× 43 1.8k
Weijun Liu China 15 982 1.0× 360 0.7× 88 0.3× 174 1.0× 70 0.7× 93 1.2k
Jinqiang Ning United States 21 1.1k 1.1× 596 1.2× 130 0.5× 170 1.0× 191 1.9× 36 1.2k
Sarah J. Wolff United States 20 1.5k 1.5× 908 1.9× 301 1.1× 239 1.4× 133 1.3× 43 1.7k
S. Suryakumar India 16 1.2k 1.2× 879 1.8× 317 1.2× 82 0.5× 103 1.0× 49 1.3k
Chaoqun Zhang China 18 1.2k 1.3× 416 0.9× 93 0.3× 190 1.1× 102 1.0× 47 1.4k
C Buchanan United Kingdom 15 946 1.0× 889 1.8× 187 0.7× 109 0.6× 131 1.3× 23 1.8k
Cheng Huang China 22 837 0.9× 456 0.9× 132 0.5× 124 0.7× 41 0.4× 54 1.3k

Countries citing papers authored by Runsheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Runsheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runsheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Runsheng Li. A scholar is included among the top collaborators of Runsheng Li 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 Runsheng Li. Runsheng Li 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.
3.
Li, Quan, Yongjun Shi, Shuyao Wang, et al.. (2025). Controlling composition and microstructure in additively manufactured NiTi via melt pool engineering. Journal of Alloys and Compounds. 1041. 183715–183715.
4.
Du, Yang, Tuhin Mukherjee, Runsheng Li, et al.. (2025). A review of deep learning in metal additive manufacturing: Impact on process, structure, and properties. Progress in Materials Science. 157. 101587–101587. 1 indexed citations
5.
Zhang, Yanzhen, Weiwei He, Jianhao Zhu, et al.. (2025). Metal droplet ejection technology based on water hammer effect for additive manufacturing. Journal of Materials Processing Technology. 338. 118785–118785.
6.
Zhao, Xushan, Zhaoyang Yan, Ruishan Xie, et al.. (2025). Magnetic field and in-situ hot rolling assisted wire arc additive manufacturing of Al–Mg alloy thin-walled parts: external morphology and internal quality. Journal of Materials Research and Technology. 37. 2496–2511. 1 indexed citations
7.
Ji, Renjie, Liu Y, Hui Jin, et al.. (2025). Efficient fabrication of Ni-Fe-MoS₂ superamphiphobic microporous surface by magnetic field-assisted jet electrodeposition. Tribology International. 210. 110814–110814. 1 indexed citations
8.
Lin, Hang, Wenzheng Zhai, Mingtian Wang, et al.. (2025). Enhanced fabrication and microstructure-property optimization of IN718 superalloy via laser rolling-assisted wire-arc directed energy deposition. Materials Science and Engineering A. 944. 148890–148890. 1 indexed citations
9.
Lin, Hang, Wenzheng Zhai, Gang Zhao, et al.. (2025). Additively manufactured Inconel 718 plus superalloy with heterostructures and high mechanical properties. Materials Science and Engineering A. 924. 147683–147683. 5 indexed citations
10.
Lin, Danyang, Qi Chen, Xin Xi, et al.. (2024). Laser powder bed fusion to fabricate high-entropy alloy FeCoCrNiMo0.5 with excellent high-temperature strength and ductility. Materials Science and Engineering A. 900. 146413–146413. 36 indexed citations
11.
Zhou, Xiangman, et al.. (2024). Improved YOLOv5-based pore defect detection algorithm for wire arc additive manufacturing. Materials Today Communications. 39. 108710–108710. 6 indexed citations
12.
Zhang, Haiou, Runsheng Li, Xushan Zhao, et al.. (2024). Hybrid in-situ hot rolling and wire arc additive manufacturing of Al-Si alloy: Microstructure, mechanical properties and strengthening mechanism. Journal of Manufacturing Processes. 127. 328–339. 16 indexed citations
13.
Lin, Danyang, Min‐Qian Liu, Xin Xi, et al.. (2024). Enhancing plasticity in laser additive manufactured high-entropy alloys: The combined effect of thermal cycle induced dissolution and twinning. Additive manufacturing. 93. 104427–104427. 26 indexed citations
14.
Fu, Youheng, et al.. (2024). Hybrid interlayer hot rolling and wire arc additive manufacturing of Al-Mg alloy: Microstructure, mechanical properties and strengthening mechanism. Journal of Materials Research and Technology. 30. 7037–7050. 18 indexed citations
15.
Li, Runsheng, Junjiang Liu, Kaiyun Wang, et al.. (2024). State-of-art review on the process-structure-properties-performance linkage in wire arc additive manufacturing. Virtual and Physical Prototyping. 19(1). 28 indexed citations
16.
Tan, Chaolin, Runsheng Li, Jinlong Su, et al.. (2023). Review on field assisted metal additive manufacturing. International Journal of Machine Tools and Manufacture. 189. 104032–104032. 214 indexed citations breakdown →
17.
Li, Chenxi, et al.. (2023). A two-stage unsupervised approach for surface anomaly detection in wire and arc additive manufacturing. Computers in Industry. 151. 103994–103994. 28 indexed citations
18.
Zhang, Yanzhen, Ning Wang, Dege Li, et al.. (2023). Ultrasonic vibration micro-jet ejection for metal additive manufacture. Journal of Materials Research and Technology. 28. 2149–2162. 3 indexed citations
19.
Zhang, Haiou, et al.. (2022). Deep learning based online metallic surface defect detection method for wire and arc additive manufacturing. Robotics and Computer-Integrated Manufacturing. 80. 102470–102470. 162 indexed citations breakdown →
20.
Li, Runsheng, et al.. (2012). Modeling user's temporal dynamic profile in micro-blogging using clustering method. 808–812.

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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