Ben Wang

4.1k total citations · 4 hit papers
69 papers, 3.1k citations indexed

About

Ben Wang is a scholar working on Biomedical Engineering, Biomaterials and Electrical and Electronic Engineering. According to data from OpenAlex, Ben Wang has authored 69 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 10 papers in Biomaterials and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Ben Wang's work include Additive Manufacturing and 3D Printing Technologies (8 papers), Carbon Nanotubes in Composites (7 papers) and 3D Printing in Biomedical Research (7 papers). Ben Wang is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (8 papers), Carbon Nanotubes in Composites (7 papers) and 3D Printing in Biomedical Research (7 papers). Ben Wang collaborates with scholars based in United States, China and Taiwan. Ben Wang's co-authors include Chuck Zhang, Sara Behdad, Behzad Esmaeilian, Kan Wang, Yung-Hang Chang, Fábio Duarte, Kemper Lewis, Qunfeng Cheng, Jiyang Liu and Wei Cui and has published in prestigious journals such as ACS Nano, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Power Sources.

In The Last Decade

Ben Wang

67 papers receiving 3.0k citations

Hit Papers

The evolution and future of manufacturing: A review 2014 2026 2018 2022 2016 2014 2018 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Wang United States 24 977 528 509 473 398 69 3.1k
Lee Te Chuan Malaysia 17 1.3k 1.3× 434 0.8× 432 0.8× 1.0k 2.1× 251 0.6× 66 2.7k
Shashi Bahl India 29 438 0.4× 490 0.9× 547 1.1× 314 0.7× 155 0.4× 80 3.0k
Inderpreet Singh Ahuja India 29 618 0.6× 851 1.6× 532 1.0× 910 1.9× 160 0.4× 186 4.2k
Saurav Dixit India 33 383 0.4× 1.4k 2.6× 296 0.6× 623 1.3× 554 1.4× 228 3.7k
Paulo Peças Portugal 23 494 0.5× 768 1.5× 458 0.9× 366 0.8× 72 0.2× 67 2.2k
Chamil Abeykoon United Kingdom 29 404 0.4× 1.0k 2.0× 233 0.5× 708 1.5× 332 0.8× 107 2.7k
Jouni Partanen Finland 33 541 0.6× 804 1.5× 1.1k 2.1× 1.6k 3.3× 198 0.5× 112 3.7k
Wujie Zhang China 26 821 0.8× 197 0.4× 153 0.3× 130 0.3× 153 0.4× 70 2.5k
Mohd Khairol Anuar Mohd Ariffin Malaysia 27 583 0.6× 1.1k 2.1× 728 1.4× 619 1.3× 151 0.4× 195 2.6k

Countries citing papers authored by Ben Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ben Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Wang. A scholar is included among the top collaborators of Ben Wang 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 Ben Wang. Ben Wang 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.
Pan, Chao, et al.. (2025). Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests. BMC Medical Informatics and Decision Making. 25(1). 131–131.
2.
Wang, Kan, et al.. (2024). Advancing autologous CAR T-cell therapy through real-time patient health data integration: a simulation-based approach. Cytotherapy. 26(10). 1152–1162. 1 indexed citations
3.
Li, Zongmin, et al.. (2023). SKT-MOT and DyTracker: A Multiobject Tracking Dataset and a Dynamic Tracker for Speed Skating Video. Scientific Programming. 2023. 1–15. 1 indexed citations
4.
Wang, Kan, et al.. (2023). A simulation-based comparison of centralized and point-of-care supply chain strategies for autologous cell therapy. Cytotherapy. 25(12). 1370–1379. 3 indexed citations
5.
Jiang, Xuzhou, Shuai Li, Jialei Chen, et al.. (2023). A disposable impedance-based sensor for in-line cell growth monitoring in CAR-T cell manufacturing. Bioelectrochemistry. 152. 108416–108416. 8 indexed citations
6.
Wang, Kan, et al.. (2023). Deep reinforcement learning approach for dynamic capacity planning in decentralised regenerative medicine supply chains. International Journal of Production Research. 63(2). 555–570. 7 indexed citations
8.
Biderman, Stella, Quentin Anthony, Leo Gao, et al.. (2022). GPT-NeoX-20B: An Open-Source Autoregressive Language Model. 95–136. 235 indexed citations breakdown →
9.
Wang, Ben, et al.. (2021). Aerosol-Jet-Printed CoFe2O4 Nanoparticle − Vertically Aligned Carbon Nanotube Composite for Microsupercapacitors. The Journal of Physical Chemistry C. 125(14). 7590–7597. 9 indexed citations
10.
Jiang, Chen, et al.. (2021). Textile-based sandwich scaffold using wet electrospun yarns for skin tissue engineering. Journal of the mechanical behavior of biomedical materials. 119. 104499–104499. 17 indexed citations
11.
Jiang, Chen, et al.. (2021). Application of textile technology in tissue engineering: A review. Acta Biomaterialia. 128. 60–76. 60 indexed citations
12.
Li, Shuai, Kan Wang, Xuzhou Jiang, et al.. (2020). Rapid Fabrication of Ready-to-Use Gelatin Scaffolds with Prevascular Networks Using Alginate Hollow Fibers as Sacrificial Templates. ACS Biomaterials Science & Engineering. 6(4). 2297–2311. 19 indexed citations
13.
Wang, Kan, et al.. (2019). A multiscale simulation framework for the manufacturing facility and supply chain of autologous cell therapies. Cytotherapy. 21(10). 1081–1093. 22 indexed citations
14.
Li, Shuai, Kan Wang, Qingxi Hu, Chuck Zhang, & Ben Wang. (2019). Direct-write and sacrifice-based techniques for vasculatures. Materials Science and Engineering C. 104. 109936–109936. 19 indexed citations
15.
Esmaeilian, Behzad, Ben Wang, Kemper Lewis, et al.. (2018). The future of waste management in smart and sustainable cities: A review and concept paper. Waste Management. 81. 177–195. 313 indexed citations breakdown →
16.
Cheng, Chung‐Wei, et al.. (2018). Femtosecond laser melting of silver nanoparticles: comparison of model simulations and experimental results. Applied Physics A. 124(5). 14 indexed citations
17.
Qian, Zhen, Kan Wang, Shizhen Liu, et al.. (2017). Quantitative Prediction of Paravalvular Leak in Transcatheter Aortic Valve Replacement Based on Tissue-Mimicking 3D Printing. JACC. Cardiovascular imaging. 10(7). 719–731. 94 indexed citations
18.
Wang, Kan, Chia‐Che Ho, Chuck Zhang, & Ben Wang. (2017). A Review on the 3D Printing of Functional Structures for Medical Phantoms and Regenerated Tissue and Organ Applications. Engineering. 3(5). 653–662. 109 indexed citations
19.
Wang, Shaokai, et al.. (2012). Nanoscale infiltration behaviour and through-thickness permeability of carbon nanotube buckypapers. Nanotechnology. 24(1). 15704–15704. 48 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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