Lee‐Ing Tong

2.8k total citations
62 papers, 2.3k citations indexed

About

Lee‐Ing Tong is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering. According to data from OpenAlex, Lee‐Ing Tong has authored 62 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Science and Operations Research, 22 papers in Statistics, Probability and Uncertainty and 22 papers in Industrial and Manufacturing Engineering. Recurrent topics in Lee‐Ing Tong's work include Optimal Experimental Design Methods (23 papers), Advanced Statistical Process Monitoring (17 papers) and Manufacturing Process and Optimization (12 papers). Lee‐Ing Tong is often cited by papers focused on Optimal Experimental Design Methods (23 papers), Advanced Statistical Process Monitoring (17 papers) and Manufacturing Process and Optimization (12 papers). Lee‐Ing Tong collaborates with scholars based in Taiwan, United States and China. Lee‐Ing Tong's co-authors include Chung‐Ho Wang, Chao‐Ton Su, Hung-Cheng Chen, Kuen‐Suan Chen, Kun‐Lin Hsieh, J.H. Chen, K.S. Chen, Chih‐Chien Chen, Yung-Chia Chang and Kuei‐Hu Chang and has published in prestigious journals such as Journal of Hazardous Materials, Applied Energy and European Journal of Operational Research.

In The Last Decade

Lee‐Ing Tong

59 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee‐Ing Tong Taiwan 23 1.0k 591 541 470 379 62 2.3k
Kailash C. Kapur United States 23 725 0.7× 498 0.8× 767 1.4× 1.0k 2.1× 684 1.8× 81 3.6k
Anderson Paulo de Paiva Brazil 25 386 0.4× 819 1.4× 495 0.9× 170 0.4× 1.1k 2.8× 120 2.2k
Pedro Paulo Balestrassi Brazil 25 375 0.4× 949 1.6× 404 0.7× 163 0.3× 778 2.1× 121 2.3k
M. S. Phadke United States 11 1.3k 1.2× 715 1.2× 1.1k 2.1× 771 1.6× 1.4k 3.6× 25 4.0k
Enrique Del Castillo United States 30 1.1k 1.1× 139 0.2× 733 1.4× 1.5k 3.3× 391 1.0× 141 3.2k
Michael S. Hamada United States 29 1.6k 1.5× 217 0.4× 455 0.8× 1.4k 3.0× 241 0.6× 171 3.8k
G. Geoffrey Vining United States 25 1.9k 1.8× 125 0.2× 660 1.2× 1.2k 2.5× 401 1.1× 57 3.4k
Der‐Chiang Li Taiwan 27 710 0.7× 358 0.6× 351 0.6× 122 0.3× 174 0.5× 122 2.5k
Victoria C. P. Chen United States 23 339 0.3× 257 0.4× 158 0.3× 252 0.5× 104 0.3× 87 1.6k
Abu S. M. Masud United States 11 789 0.8× 288 0.5× 293 0.5× 110 0.2× 138 0.4× 25 2.1k

Countries citing papers authored by Lee‐Ing Tong

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Ing Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee‐Ing Tong. 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 Lee‐Ing Tong. The network helps show where Lee‐Ing Tong may publish in the future.

Co-authorship network of co-authors of Lee‐Ing Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Lee‐Ing Tong. A scholar is included among the top collaborators of Lee‐Ing Tong 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 Lee‐Ing Tong. Lee‐Ing Tong 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.
Wang, Chung‐Ho, et al.. (2025). Establishing Performance Baselines for Secure Software Development. IET Information Security. 2025(1).
2.
Chang, Chih‐Wei & Lee‐Ing Tong. (2012). Monitoring the software development process using a short-run control chart. Software Quality Journal. 21(3). 479–499. 8 indexed citations
3.
Tong, Lee‐Ing, et al.. (2008). Constructing BCa Bootstrap Confidence Interval for the Difference between Two Non-normal Process Capability Indices C Npmk . Quality Engineering. 20(2). 209–220. 13 indexed citations
4.
Tong, Lee‐Ing, et al.. (2008). DEVELOPING A NEW DEFECT CLUSTER INDEX. Journal of the Chinese Institute of Industrial Engineers. 25(1). 18–30. 3 indexed citations
5.
Tong, Lee‐Ing, et al.. (2007). Benefit prediction model by employing BPNN from the viewpoint of organization. WSEAS Transactions on Information Science and Applications archive. 4(3). 516–522.
6.
Tong, Lee‐Ing, et al.. (2006). Development of a new cluster index for wafer defects. The International Journal of Advanced Manufacturing Technology. 31(7-8). 705–715. 14 indexed citations
7.
Tong, Lee‐Ing, et al.. (2005). Incorporating process capability index and quality loss function into analyzing the process capability for qualitative data. The International Journal of Advanced Manufacturing Technology. 27(11-12). 1217–1222. 29 indexed citations
8.
Tong, Lee‐Ing, et al.. (2005). Manufacturing performance evaluation for IC products. The International Journal of Advanced Manufacturing Technology. 28(5-6). 610–617. 8 indexed citations
9.
Tong, Lee‐Ing, et al.. (2005). Forecasting field failure data for repairable systems using neural networks and SARIMA model. International Journal of Quality & Reliability Management. 22(4). 410–420. 17 indexed citations
10.
Tong, Lee‐Ing, et al.. (2005). Optimizing processes based on censored data obtained in repetitious experiments using grey prediction. The International Journal of Advanced Manufacturing Technology. 27(9-10). 6 indexed citations
11.
Tong, Lee‐Ing, et al.. (2003). Dynamic multiple responses by ideal solution analysis. European Journal of Operational Research. 156(2). 433–444. 74 indexed citations
12.
Tong, Lee‐Ing & Chung‐Ho Wang. (2002). Multi-response optimization using principal component analysis and grey relational analysis. International journal of industrial engineering. 9(4). 343–350. 38 indexed citations
13.
Roussopoulos, N. & Lee‐Ing Tong. (2002). Optimization of response time in parallel pipelined n-joins. 496–498. 2 indexed citations
14.
Tong, Lee‐Ing, et al.. (2001). A NOVEL MEANS OF APPLYING NEURAL NETWORKS TO OPTIMIZE THE MULTIRESPONSE PROBLEM. Quality Engineering. 13(1). 11–18. 34 indexed citations
15.
Chen, J.H., K.S. Chen, & Lee‐Ing Tong. (2001). On the pyrolysis kinetics of scrap automotive tires. Journal of Hazardous Materials. 84(1). 43–55. 74 indexed citations
16.
Tong, Lee‐Ing, et al.. (2001). Average type‐II censoring times for two‐parameter Pareto and Rayleigh distributions. International Journal of Quality & Reliability Management. 18(6). 643–657. 7 indexed citations
17.
Tong, Lee‐Ing. (1998). Modified process control chart in IC fabrication using clustering analysis. International Journal of Quality & Reliability Management. 15(6). 582–598. 2 indexed citations
18.
Tong, Lee‐Ing, et al.. (1997). OPTIMIZING MULTI-RESPONSE PROBLEMS IN THE TAGUCHI METHOD BY FUZZY MULTIPLE ATTRIBUTE DECISION MAKING. Quality and Reliability Engineering International. 13(1). 25–34. 154 indexed citations
19.
Tong, Lee‐Ing & Chao Su. (1996). Robust design for the nominal-the-best performance characteristic. International journal of industrial engineering. 3(3). 183–193. 2 indexed citations
20.
Tong, Lee‐Ing & P. L. Cornelius. (1989). Studies on the estimation of the slope parameter in the simple linear regression model with one-fold nested error structure. Communications in Statistics - Simulation and Computation. 18(1). 201–225. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kailash C. Kapur Breakdown of academic impact, for papers by Anderson Paulo de Paiva Breakdown of academic impact, for papers by Pedro Paulo Balestrassi Breakdown of academic impact, for papers by M. S. Phadke Breakdown of academic impact, for papers by Enrique Del Castillo Breakdown of academic impact, for papers by Michael S. Hamada Breakdown of academic impact, for papers by G. Geoffrey Vining Breakdown of academic impact, for papers by Der‐Chiang Li Breakdown of academic impact, for papers by Victoria C. P. Chen Breakdown of academic impact, for papers by Abu S. M. Masud
Rankless by CCL
2026