Jun-Ming Lu

610 total citations
25 papers, 410 citations indexed

About

Jun-Ming Lu is a scholar working on Social Psychology, Computational Mechanics and Epidemiology. According to data from OpenAlex, Jun-Ming Lu has authored 25 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Social Psychology, 5 papers in Computational Mechanics and 5 papers in Epidemiology. Recurrent topics in Jun-Ming Lu's work include Ergonomics and Musculoskeletal Disorders (6 papers), 3D Shape Modeling and Analysis (5 papers) and Respiratory viral infections research (3 papers). Jun-Ming Lu is often cited by papers focused on Ergonomics and Musculoskeletal Disorders (6 papers), 3D Shape Modeling and Analysis (5 papers) and Respiratory viral infections research (3 papers). Jun-Ming Lu collaborates with scholars based in Taiwan, China and United States. Jun-Ming Lu's co-authors include Mao‐Jiun J. Wang, Yeh‐Liang Hsu, Che-Chang Yang, Kao‐Shang Shih, Chih‐Wei Lu, Chao‐Hung Wang, Régis Mollard, Chien‐Wen Chen, Wen‐Yen Wu and Shi-Nine Yang and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Microbiology and Sensors.

In The Last Decade

Jun-Ming Lu

23 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun-Ming Lu Taiwan 10 123 92 90 62 57 25 410
Kathleen M. Robinette United States 11 174 1.4× 189 2.1× 108 1.2× 197 3.2× 31 0.5× 39 618
Stijn Verwulgen Belgium 11 72 0.6× 41 0.4× 52 0.6× 50 0.8× 24 0.4× 50 395
Kihyo Jung South Korea 11 329 2.7× 28 0.3× 118 1.3× 32 0.5× 19 0.3× 88 592
Norbert M. Schmitz Germany 8 82 0.7× 100 1.1× 132 1.5× 8 0.1× 37 0.6× 17 397
Holger Harms Switzerland 12 63 0.5× 134 1.5× 326 3.6× 15 0.2× 62 1.1× 15 592
Channa P. Witana Hong Kong 10 48 0.4× 41 0.4× 401 4.5× 40 0.6× 27 0.5× 15 547
Pierre Plantard France 6 190 1.5× 53 0.6× 81 0.9× 4 0.1× 31 0.5× 10 342
Tien‐Lung Sun Taiwan 11 20 0.2× 69 0.8× 78 0.9× 24 0.4× 129 2.3× 37 320
Gongbing Shan Canada 17 61 0.5× 61 0.7× 492 5.5× 5 0.1× 124 2.2× 86 1.1k
Brian Horsak Austria 15 24 0.2× 76 0.8× 330 3.7× 7 0.1× 164 2.9× 66 667

Countries citing papers authored by Jun-Ming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Ming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Ming Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Ming Lu. A scholar is included among the top collaborators of Jun-Ming Lu 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 Jun-Ming Lu. Jun-Ming Lu 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.
Zhang, Huan, Xiang‐Jun Lu, Jun-Ming Lu, et al.. (2025). Clinical and prognostic insights into Chlamydia trachomatis in pediatric acute respiratory infections: evidence from targeted next-generation sequencing of 5,021 cases. European Journal of Clinical Microbiology & Infectious Diseases. 44(4). 867–875. 2 indexed citations
2.
Fu, Chunyun, Jiangjun Ruan, Jiangyang Zhao, et al.. (2025). Epidemiological and clinical profiles of respiratory syncytial virus infections in hospitalized children: a retrospective cohort study utilizing targeted next-generation sequencing. European Journal of Clinical Microbiology & Infectious Diseases. 44(6). 1391–1403. 1 indexed citations
3.
Huang, Qiang, Jiangyang Zhao, Wenting Tang, et al.. (2025). Clinical characteristics and co-infection analysis of influenza a virus in pediatric respiratory infections: a study based on tNGS technology. European Journal of Clinical Microbiology & Infectious Diseases. 44(7). 1695–1704. 1 indexed citations
4.
5.
6.
Tan, Jie, Yan Chen, Jia Lu, et al.. (2024). Pathogen distribution and infection patterns in pediatric severe pneumonia: A targeted next-generation sequencing study. Clinica Chimica Acta. 565. 119985–119985. 9 indexed citations
7.
Liu, Rui, Yu‐Ling Wei, Jun-Ming Lu, et al.. (2024). Heterologous expression, enzymatic properties, product analysis and molecular docking of assimilative nitrite reductase (NiR) in Bacillus velezensis GXMZU-B1 derived from mariculture. International Journal of Biological Macromolecules. 291. 139047–139047. 1 indexed citations
8.
Lu, Jun-Ming, Rui Liu, Ying Liang, et al.. (2024). Antimicrobial mechanisms and antifungal activity of compounds generated by banana rhizosphere Pseudomonas aeruginosa Gxun-2 against fusarium oxysporum f. sp. cubense. Frontiers in Microbiology. 15. 1456847–1456847. 4 indexed citations
9.
Wang, Chao‐Hung, et al.. (2019). Usability evaluation of an instructional application based on Google Glass for mobile phone disassembly tasks. Applied Ergonomics. 77. 58–69. 40 indexed citations
10.
Kuo, Chia-Chen, Mao‐Jiun J. Wang, & Jun-Ming Lu. (2019). Developing sizing systems using 3D scanning head anthropometric data. Measurement. 152. 107264–107264. 22 indexed citations
11.
Lu, Chih‐Wei, et al.. (2017). Evaluation of the Indonesian National Standard for elementary school furniture based on children's anthropometry. Applied Ergonomics. 62. 168–181. 32 indexed citations
12.
Lu, Jun-Ming, Mitsunori Tada, Yui Endo, & Masaaki Mochimaru. (2015). Ingress and egress motion strategies of elderly and young passengers for the rear seat of minivans with sliding doors. Applied Ergonomics. 53. 228–240. 5 indexed citations
13.
Chen, Yi-Shin, Yeh‐Liang Hsu, & Jun-Ming Lu. (2013). TRiCmini^+ -A Telepresence Robot for Interpersonal Communication for Older Adults. 34(2). 121–127. 1 indexed citations
14.
Lu, Jun-Ming, et al.. (2013). Robotic concept design for dementia care. 13. 169–173. 3 indexed citations
15.
Yang, Che-Chang, Yeh‐Liang Hsu, Kao‐Shang Shih, & Jun-Ming Lu. (2011). Real-Time Gait Cycle Parameter Recognition Using a Wearable Accelerometry System. Sensors. 11(8). 7314–7326. 94 indexed citations
16.
Lu, Jun-Ming & Mao‐Jiun J. Wang. (2011). A Computer-aided Production System for Mass Customization in Fashion. 43(1). 104–109. 4 indexed citations
17.
Yang, Che-Chang, et al.. (2011). Real-time gait cycle parameters recognition using a wearable motion detector. 17. 498–502. 8 indexed citations
18.
Lu, Jun-Ming, Mao‐Jiun J. Wang, & Régis Mollard. (2009). The effect of arm posture on the scan-derived measurements. Applied Ergonomics. 41(2). 236–241. 29 indexed citations
19.
Lu, Jun-Ming, et al.. (2009). The development of an intelligent system for customized clothing making. Expert Systems with Applications. 37(1). 799–803. 36 indexed citations
20.
Lu, Jun-Ming & Mao‐Jiun J. Wang. (2008). An intelligent system for customized clothing making. Computational intelligence. 171–174. 2 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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