Tung-Ming Pan

3.8k total citations
226 papers, 3.2k citations indexed

About

Tung-Ming Pan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Bioengineering. According to data from OpenAlex, Tung-Ming Pan has authored 226 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Electrical and Electronic Engineering, 105 papers in Materials Chemistry and 94 papers in Bioengineering. Recurrent topics in Tung-Ming Pan's work include Semiconductor materials and devices (108 papers), Analytical Chemistry and Sensors (94 papers) and Electronic and Structural Properties of Oxides (73 papers). Tung-Ming Pan is often cited by papers focused on Semiconductor materials and devices (108 papers), Analytical Chemistry and Sensors (94 papers) and Electronic and Structural Properties of Oxides (73 papers). Tung-Ming Pan collaborates with scholars based in Taiwan, Japan and United States. Tung-Ming Pan's co-authors include Jim-Long Her, Min‐Hsien Wu, Fa‐Hsyang Chen, See‐Tong Pang, Chao‐Sung Lai, Fu‐Chien Chiu, Ching-Hung Chen, Kanishk Singh, Chih‐Wei Wang and Chunlin Chen and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Tung-Ming Pan

220 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tung-Ming Pan Taiwan 29 2.4k 1.4k 987 603 289 226 3.2k
Jessica E. Koehne United States 28 1.6k 0.6× 950 0.7× 334 0.3× 892 1.5× 437 1.5× 79 2.9k
M. N. Kamalasanan India 29 2.1k 0.9× 1.6k 1.1× 259 0.3× 474 0.8× 835 2.9× 115 3.0k
Balaji Panchapakesan United States 33 1.1k 0.5× 1.6k 1.2× 293 0.3× 1.4k 2.3× 355 1.2× 88 2.9k
Kazunari Shinbo Japan 23 1.1k 0.4× 551 0.4× 220 0.2× 979 1.6× 313 1.1× 198 2.0k
Yunyun Huang China 28 1.5k 0.6× 662 0.5× 246 0.2× 969 1.6× 222 0.8× 77 2.6k
Keizo Kato Japan 23 940 0.4× 574 0.4× 198 0.2× 909 1.5× 255 0.9× 181 1.9k
Catherine Henry de Villeneuve France 19 1.5k 0.6× 793 0.6× 136 0.1× 635 1.1× 211 0.7× 46 2.1k
Xuejun Xie China 21 1.8k 0.7× 2.4k 1.7× 179 0.2× 1.6k 2.6× 226 0.8× 48 4.2k
Ayelet Vilan Israel 33 2.8k 1.2× 1.2k 0.9× 131 0.1× 939 1.6× 230 0.8× 87 3.3k
M. Christophersen United States 26 1.4k 0.6× 2.0k 1.4× 204 0.2× 1.7k 2.8× 114 0.4× 96 2.6k

Countries citing papers authored by Tung-Ming Pan

Since Specialization
Citations

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

Fields of papers citing papers by Tung-Ming Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tung-Ming Pan. 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 Tung-Ming Pan. The network helps show where Tung-Ming Pan may publish in the future.

Co-authorship network of co-authors of Tung-Ming Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Tung-Ming Pan. A scholar is included among the top collaborators of Tung-Ming Pan 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 Tung-Ming Pan. Tung-Ming Pan 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.
Cai, Huimin, Qiliang Zhu, Tung-Ming Pan, et al.. (2025). Symmetry‐Breaking Strategy Yields Dopant‐Free Small Molecule Hole Transport Materials for Inorganic Perovskite Solar Cells with 20.58% Efficiency and Outstanding Stability. Angewandte Chemie International Edition. 64(23). e202502478–e202502478. 1 indexed citations
2.
Chen, Lu, Jicheng Yi, Yulong Hai, et al.. (2025). High Efficiency (∼18%) Organic Solar Cells with 500 nm‐Thick Toluene Cast Active Layer by Aggregation Manipulation and Additive Engineering. Advanced Materials. 38(3). e08209–e08209. 1 indexed citations
3.
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Singh, Kanishk, Christopher Chen, Li‐Chia Tai, Wei‐Chen Huang, & Tung-Ming Pan. (2024). Label-Free EGFR Sensing by Using a Flexible IrO x Extended-Gate Field-Effect Transistor-Based Biosensor. IEEE Sensors Letters. 8(9). 1–4.
6.
Pan, Tung-Ming, et al.. (2024). Engineering Ta-doped MoSex sensitive films in extended-gate field-effect transistors for ultrahigh sensitivity detection of epinephrine at fM levels. Journal of Industrial and Engineering Chemistry. 142. 348–358. 2 indexed citations
7.
Das, Atanu, et al.. (2024). Enhancing Sensitivity Beyond Nernst Limits Using a CeO₂ Capacitive EIS Sensor for ssDNA Detection Applications. IEEE Sensors Journal. 24(16). 25308–25315. 1 indexed citations
8.
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Singh, Kanishk, Li‐Chia Tai, Jim-Long Her, & Tung-Ming Pan. (2023). Enhanced pH sensing with Ce-doped YTixOy sensing membrane in high-performance electrolyte–insulator–semiconductor devices. Materials Chemistry and Physics. 311. 128563–128563. 1 indexed citations
10.
Pan, Tung-Ming, et al.. (2023). Impact of rapid thermal annealing on structural and sensing properties of Ni–Ti sensitive films for extended-gate field-effect transistor pH sensors. Surfaces and Interfaces. 39. 102993–102993. 1 indexed citations
11.
Pan, Tung-Ming, et al.. (2023). Structural properties and sensing performance of Ni–Ti alloy films for extended-gate field-effect transistor pH sensors. Materials Science in Semiconductor Processing. 164. 107639–107639. 3 indexed citations
12.
Weng, Wen‐Hui, et al.. (2018). Real-time circulating tumor cells detection via highly sensitive needle-like cytosensor-demonstrated by a blood flow simulation. Biosensors and Bioelectronics. 116. 51–59. 16 indexed citations
13.
Pan, Tung-Ming, Ting‐Wei Lin, & Ching‐Yi Chen. (2015). Label-free detection of rheumatoid factor using YbYxOy electrolyte–insulator–semiconductor devices. Analytica Chimica Acta. 891. 304–311. 19 indexed citations
14.
Pan, Tung-Ming, et al.. (2015). High-performance InGaZnO thin-film transistor incorporating a HfO2/Er2O3/HfO2stacked gate dielectric. RSC Advances. 5(63). 51286–51289. 11 indexed citations
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Lin, Yen‐Heng, Shih‐Hao Wang, Min‐Hsien Wu, et al.. (2013). Integrating solid-state sensor and microfluidic devices for glucose, urea and creatinine detection based on enzyme-carrying alginate microbeads. Biosensors and Bioelectronics. 43. 328–335. 61 indexed citations
17.
Pan, Tung-Ming, et al.. (2010). Effects of postdeposition annealing on physical and electrical properties of high-k Yb2TiO5 dielectrics. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 28(5). 1084–1088. 8 indexed citations
18.
Sheng, Yuanjian, Jie Gao, Wenlong Hu, et al.. (2010). Follow-up study identifies two novel susceptibility loci PRKCB and 8p11.21 for systemic lupus erythematosus. Lara D. Veeken. 50(4). 682–688. 51 indexed citations
19.
Pan, Tung-Ming, et al.. (2009). Structural properties and sensing performance of high-k Nd2TiO5 thin layer-based electrolyte–insulator–semiconductor for pH detection and urea biosensing. Biosensors and Bioelectronics. 24(9). 2864–2870. 31 indexed citations
20.
Pan, Tung-Ming, et al.. (2008). Structural and Sensing Properties of High-$k$ $\hbox{PrTiO}_{3}$ Sensing Membranes for pH-ISFET Applications. IEEE Transactions on Biomedical Engineering. 56(2). 471–476. 7 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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