Ming S. Hung

1.3k total citations
34 papers, 929 citations indexed

About

Ming S. Hung is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Ming S. Hung has authored 34 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Industrial and Manufacturing Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Ming S. Hung's work include Neural Networks and Applications (12 papers), Advanced Manufacturing and Logistics Optimization (5 papers) and Optimization and Packing Problems (5 papers). Ming S. Hung is often cited by papers focused on Neural Networks and Applications (12 papers), Advanced Manufacturing and Logistics Optimization (5 papers) and Optimization and Packing Problems (5 papers). Ming S. Hung collaborates with scholars based in United States and Hong Kong. Ming S. Hung's co-authors include Michael Y. Hu, Murali Shanker, Walter O. Rom, Allan D. Waren, Leon S. Lasdon, James R. Brown, Chia‐Shin Chung, Abraham Mehrez, B. Eddy Patuwo and G. Peter Zhang and has published in prestigious journals such as Management Science, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Ming S. Hung

33 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming S. Hung United States 16 286 196 163 109 93 34 929
Moshe Sniedovich Australia 17 132 0.5× 329 1.7× 138 0.8× 110 1.0× 127 1.4× 69 976
Randall S. Sexton United States 15 567 2.0× 84 0.4× 167 1.0× 41 0.4× 42 0.5× 25 1.2k
Subhash C. Narula United States 19 123 0.4× 301 1.5× 309 1.9× 90 0.8× 101 1.1× 86 1.3k
John S. Ramberg United States 17 227 0.8× 170 0.9× 493 3.0× 39 0.4× 121 1.3× 47 1.7k
Chilukuri K. Mohan India 13 389 1.4× 79 0.4× 101 0.6× 94 0.9× 138 1.5× 42 1.2k
Marco Zaffalon Switzerland 24 1.2k 4.1× 221 1.1× 372 2.3× 92 0.8× 409 4.4× 120 1.8k
Roselina Sallehuddin Malaysia 17 267 0.9× 58 0.3× 98 0.6× 39 0.4× 35 0.4× 69 812
Michael G. Madden Ireland 16 611 2.1× 40 0.2× 135 0.8× 110 1.0× 63 0.7× 65 1.3k
Gilles Mauris France 20 453 1.6× 56 0.3× 537 3.3× 229 2.1× 112 1.2× 82 1.7k
Godwin C. Ovuworie Benin 7 130 0.5× 192 1.0× 154 0.9× 137 1.3× 257 2.8× 18 1.2k

Countries citing papers authored by Ming S. Hung

Since Specialization
Citations

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

Fields of papers citing papers by Ming S. Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming S. Hung. 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 Ming S. Hung. The network helps show where Ming S. Hung may publish in the future.

Co-authorship network of co-authors of Ming S. Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Ming S. Hung. A scholar is included among the top collaborators of Ming S. Hung 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 Ming S. Hung. Ming S. Hung 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.
Hung, Ming S.. (2016). A Polynomial Simplex Method for the Assignment Problem. 125(3243). 346–7. 2 indexed citations
2.
Hu, Michael Y., Murali Shanker, G. Peter Zhang, & Ming S. Hung. (2007). Modeling consumer situational choice of long distance communication with neural networks. Decision Support Systems. 44(4). 899–908. 15 indexed citations
3.
Hung, Ming S., et al.. (2002). Estimating breast cancer risks using neural networks. Journal of the Operational Research Society. 53(2). 222–231. 19 indexed citations
4.
Shanker, Murali, Michael Y. Hu, & Ming S. Hung. (2000). Estimating Probabilities of Diabetes Mellitus Using Neural Networks. SAR and QSAR in environmental research. 11(2). 133–147. 6 indexed citations
5.
Shanker, Murali, Michael Y. Hu, & Ming S. Hung. (1996). Effect of data standardization on neural network training. Omega. 24(4). 385–397. 225 indexed citations
6.
Hung, Ming S., et al.. (1996). A comparison of nonlinear optimization methods for supervised learning in multilayer feedforward neural networks. European Journal of Operational Research. 93(2). 358–368. 19 indexed citations
7.
Mehrez, Abraham, et al.. (1995). An Industrial Ocean‐Cargo Shipping Problem. Decision Sciences. 26(3). 395–423. 15 indexed citations
8.
Patuwo, B. Eddy, et al.. (1995). Evaluation of Lead Time in Production/Inventory Systems with Non-stationary Stochastic Demand. Journal of the Operational Research Society. 46(2). 221–233. 7 indexed citations
9.
Hung, Ming S., et al.. (1994). A neural network model for fault detection in conjunction with a programmable logic controller. Journal of Intelligent Manufacturing. 5(2). 67–78. 2 indexed citations
10.
Hu, Michael Y., et al.. (1993). Two‐Group Classification Using Neural Networks*. Decision Sciences. 24(4). 825–845. 146 indexed citations
11.
Hung, Ming S., et al.. (1993). An experimental evaluation of neural networks for classification. Computers & Operations Research. 20(7). 769–782. 57 indexed citations
12.
Hung, Ming S., et al.. (1990). Sampling issues for classification using neural networks. University Microfilms International eBooks. 1 indexed citations
13.
Hung, Ming S. & Walter O. Rom. (1990). An application of the Hermite normal form in integer programming. Linear Algebra and its Applications. 140. 163–179. 7 indexed citations
14.
Hung, Ming S., et al.. (1990). Performance of Shortest Path Algorithms in Network Flow Problems. Management Science. 36(6). 661–673. 8 indexed citations
15.
Chung, Chia‐Shin, Ming S. Hung, & Walter O. Rom. (1988). A hard knapsack problem. Naval Research Logistics (NRL). 35(1). 85–98. 14 indexed citations
16.
Hung, Ming S., et al.. (1988). A computational study of efficient shortest path algorithms. Computers & Operations Research. 15(6). 567–576. 35 indexed citations
17.
Hung, Ming S., Walter O. Rom, & Allan D. Waren. (1986). Degeneracy in transportation problems. Discrete Applied Mathematics. 13(2-3). 223–237. 3 indexed citations
18.
Murphy, Catherine M. & Ming S. Hung. (1986). Network generation using the prufer code. Computers & Operations Research. 13(6). 693–705. 5 indexed citations
19.
Hung, Ming S. & Walter O. Rom. (1980). Solving the Assignment Problem by Relaxation. Operations Research. 28(4). 969–982. 75 indexed citations
20.
Hung, Ming S., et al.. (1978). An algorithm for 0‐1 multiple‐knapsack problems. Naval Research Logistics Quarterly. 25(3). 571–579. 51 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

Rankless by CCL
2026