Chi‐Hwa Wang

22.1k total citations · 3 hit papers
344 papers, 17.8k citations indexed

About

Chi‐Hwa Wang is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Chi‐Hwa Wang has authored 344 papers receiving a total of 17.8k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Biomedical Engineering, 56 papers in Computational Mechanics and 55 papers in Mechanical Engineering. Recurrent topics in Chi‐Hwa Wang's work include Thermochemical Biomass Conversion Processes (57 papers), Granular flow and fluidized beds (36 papers) and Nanoparticle-Based Drug Delivery (28 papers). Chi‐Hwa Wang is often cited by papers focused on Thermochemical Biomass Conversion Processes (57 papers), Granular flow and fluidized beds (36 papers) and Nanoparticle-Based Drug Delivery (28 papers). Chi‐Hwa Wang collaborates with scholars based in Singapore, China and France. Chi‐Hwa Wang's co-authors include Yanjun Dai, Jingwei Xie, Yen Wah Tong, Lai Yeng Lee, Yong Sik Ok, Siming You, Thawatchai Maneerung, Davis Yohanes Arifin, Hemin Nie and Daniel C.W. Tsang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Chi‐Hwa Wang

339 papers receiving 17.5k citations

Hit Papers

Mathematical modeling and simulation of drug release from... 2006 2026 2012 2019 2006 2015 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi‐Hwa Wang Singapore 72 7.8k 4.2k 2.3k 2.1k 1.9k 344 17.8k
Lingxue Kong Australia 67 6.4k 0.8× 3.1k 0.7× 3.3k 1.4× 1.8k 0.9× 3.9k 2.0× 514 16.7k
Bo Xiao China 76 6.9k 0.9× 2.6k 0.6× 3.7k 1.6× 613 0.3× 2.9k 1.5× 397 18.3k
Aiqin Wang China 92 6.9k 0.9× 6.9k 1.7× 2.2k 0.9× 2.7k 1.3× 7.1k 3.7× 796 30.7k
Yen Wah Tong Singapore 68 4.4k 0.6× 2.4k 0.6× 1.4k 0.6× 724 0.3× 1.1k 0.6× 270 13.6k
Vijay Kumar Thakur India 97 10.8k 1.4× 9.8k 2.4× 3.1k 1.3× 4.6k 2.2× 8.5k 4.5× 505 35.4k
Mohammad Reza Saeb Iran 77 6.0k 0.8× 6.2k 1.5× 3.0k 1.3× 1.3k 0.6× 6.3k 3.3× 509 21.5k
Kai Zhang China 77 8.6k 1.1× 6.6k 1.6× 4.6k 2.0× 4.6k 2.2× 6.8k 3.6× 978 28.3k
Dimitrios Ν. Bikiaris Greece 89 7.3k 0.9× 14.6k 3.5× 1.6k 0.7× 759 0.4× 5.0k 2.6× 635 29.1k
Zhi Ping Xu Australia 79 5.7k 0.7× 3.4k 0.8× 1.5k 0.6× 1.9k 0.9× 12.4k 6.5× 468 23.6k
Dong Liu China 72 3.2k 0.4× 2.9k 0.7× 1.6k 0.7× 2.8k 1.3× 6.0k 3.2× 516 18.4k

Countries citing papers authored by Chi‐Hwa Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Hwa Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi‐Hwa Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Hwa Wang. A scholar is included among the top collaborators of Chi‐Hwa 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 Chi‐Hwa Wang. Chi‐Hwa 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.
Bu, Jie, Yiying Wang, Quanzhong Zhao, et al.. (2025). Enhancing anaerobic digestion of food waste with chemically vapor-deposited biochar: Effective enrichment of Methanosarcina and hydrogenotrophic methanogens. Bioresource Technology. 424. 132225–132225. 7 indexed citations
2.
Wen, Yuming, et al.. (2025). Machine learning insights into the production and characteristics of carbon nanotubes from methane catalytic decomposition. Journal of Energy Chemistry. 104. 726–739. 5 indexed citations
3.
Wu, Junye, Yoke Wang Cheng, Guiying Lin, et al.. (2025). Toward Sustainable Agriculture: The Design of Environmentally Friendly, Economical, and Modular Vertical Farming Systems. Engineering. 55. 229–240.
5.
Wen, Yuming, Shule Wang, Emmerson Hondo, et al.. (2024). Exploring the role of process control and catalyst design in methane catalytic decomposition: A machine learning perspective. International Journal of Hydrogen Energy. 72. 601–613. 6 indexed citations
6.
Wang, Yiying, et al.. (2024). Carbon deposition behavior on biochar during chemical vapor deposition process. Chemical Engineering Journal. 485. 149726–149726. 16 indexed citations
7.
8.
Xu, Dequan, Bo Wang, Xian Li, et al.. (2023). Solar-driven biomass chemical looping gasification using Fe3O4 for syngas and high-purity hydrogen production. Chemical Engineering Journal. 479. 147901–147901. 33 indexed citations
9.
Kua, Harn Wei, Xin He, Hailin Tian, et al.. (2022). Life cycle climate change mitigation through next-generation urban waste recovery systems in high-density Asian cities: A Singapore Case Study. Resources Conservation and Recycling. 181. 106265–106265. 15 indexed citations
10.
11.
Sunil, Vishnu, Anbu Mozhi, Wenbo Zhan, et al.. (2022). In-situ vaccination using dual responsive organelle targeted nanoreactors. Biomaterials. 290. 121843–121843. 14 indexed citations
12.
Lee, Taewoo, Sungyup Jung, Jinkyu Hong, et al.. (2020). Using CO2 as an Oxidant in the Catalytic Pyrolysis of Peat Moss from the North Polar Region. Environmental Science & Technology. 54(10). 6329–6343. 44 indexed citations
13.
You, Siming, Zhiyi Yao, Yanjun Dai, & Chi‐Hwa Wang. (2017). A comparison of PM exposure related to emission hotspots in a hot and humid urban environment: Concentrations, compositions, respiratory deposition, and potential health risks. The Science of The Total Environment. 599-600. 464–473. 43 indexed citations
14.
Zhan, Wenbo & Chi‐Hwa Wang. (2017). Convection enhanced delivery of chemotherapeutic drugs into brain tumour. Journal of Controlled Release. 271. 74–87. 69 indexed citations
15.
Chang, Po‐Chun, Li Yen Chong, Lum Peng Lim, et al.. (2013). Sequential Platelet-Derived Growth Factor–Simvastatin Release Promotes Dentoalveolar Regeneration. Tissue Engineering Part A. 20(1-2). 356–364. 24 indexed citations
16.
Arifin, Davis Yohanes, et al.. (2009). Chemotherapeutic drug transport to brain tumor. Journal of Controlled Release. 137(3). 203–210. 80 indexed citations
17.
Zhu, Xin Hao, Yasuhiko Tabata, Chi‐Hwa Wang, & Yen Wah Tong. (2008). Delivery of Basic Fibroblast Growth Factor from Gelatin Microsphere Scaffold for the Growth of Human Umbilical Vein Endothelial Cells. Tissue Engineering Part A. 14(12). 1939–1947. 42 indexed citations
18.
Fu, Yin‐Chih, et al.. (2007). Optimized bone regeneration based on sustained release from three‐dimensional fibrous PLGA/HAp composite scaffolds loaded with BMP‐2. Biotechnology and Bioengineering. 99(4). 996–1006. 141 indexed citations
19.
Lee, Lai Yeng, et al.. (2006). Controlled delivery of paclitaxel from micro-porous foams for the postsurgical treatment of glioma blastoma multiforme. National University of Singapore. 1 indexed citations
20.
Wang, Chi‐Hwa, et al.. (1999). Controlled release of human immunoglobulin G. 1. Release kinetics studies. Journal of Pharmaceutical Sciences. 88(2). 215–220. 12 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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