Hsu‐Pin Wang

1.3k total citations
41 papers, 983 citations indexed

About

Hsu‐Pin Wang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Hsu‐Pin Wang has authored 41 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Industrial and Manufacturing Engineering, 11 papers in Control and Systems Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Hsu‐Pin Wang's work include Manufacturing Process and Optimization (21 papers), Scheduling and Optimization Algorithms (9 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Hsu‐Pin Wang is often cited by papers focused on Manufacturing Process and Optimization (21 papers), Scheduling and Optimization Algorithms (9 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Hsu‐Pin Wang collaborates with scholars based in United States and Taiwan. Hsu‐Pin Wang's co-authors include Haiping Xu, Zhang Chun, Richard A. Wysk, Gerald M. Knapp, Cheng-Jung Lin, Zhang Chun, Chun Zhang, Chang‐Ching Lin, Heng Chang and Prasad Prabhu and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Hsu‐Pin Wang

41 papers receiving 894 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsu‐Pin Wang United States 20 635 211 143 136 124 41 983
Mark J. Jakiela United States 13 223 0.4× 245 1.2× 155 1.1× 279 2.1× 132 1.1× 40 967
T. N. Wong Hong Kong 16 847 1.3× 98 0.5× 84 0.6× 36 0.3× 78 0.6× 37 1.0k
Chang-Xue Feng United States 16 368 0.6× 312 1.5× 48 0.3× 37 0.3× 44 0.4× 30 744
Inyong Ham United States 15 2.4k 3.9× 230 1.1× 176 1.2× 53 0.4× 293 2.4× 41 2.7k
Tien‐Chien Chang United States 20 636 1.0× 251 1.2× 92 0.6× 21 0.2× 49 0.4× 40 912
N. Duffie United States 18 929 1.5× 383 1.8× 118 0.8× 42 0.3× 26 0.2× 36 1.3k
M.G. Mehrabi United States 9 998 1.6× 191 0.9× 200 1.4× 78 0.6× 39 0.3× 25 1.3k
Thom J. Hodgson United States 20 963 1.5× 117 0.6× 78 0.5× 42 0.3× 30 0.2× 93 1.4k
Qiuhua Tang China 27 1.9k 3.0× 127 0.6× 286 2.0× 85 0.6× 139 1.1× 99 2.4k
Marin D. Guenov United Kingdom 14 275 0.4× 185 0.9× 76 0.5× 169 1.2× 19 0.2× 54 760

Countries citing papers authored by Hsu‐Pin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hsu‐Pin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsu‐Pin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsu‐Pin Wang. A scholar is included among the top collaborators of Hsu‐Pin 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 Hsu‐Pin Wang. Hsu‐Pin 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.
Chun, Zhang & Hsu‐Pin Wang. (1998). Robust design of assembly and machining tolerance allocations. IIE Transactions. 30(1). 17–29. 44 indexed citations
2.
Wang, Hsu‐Pin, et al.. (1997). Statistical tolerance analysis based on beta distributions. Journal of Manufacturing Systems. 16(2). 150–158. 14 indexed citations
3.
Lin, Chang‐Ching & Hsu‐Pin Wang. (1996). Performance analysis of rotating machinery using enhanced cerebellar model articulation controller (E-CMAC) neural networks. Computers & Industrial Engineering. 30(2). 227–242. 12 indexed citations
4.
Zhang, Chun, et al.. (1995). ON MIXED-DISCRETE NONLINEAR OPTIMIZATION PROBLEMS: A COMPARATIVE STUDY. Engineering Optimization. 23(4). 287–300. 32 indexed citations
5.
Chun, Zhang & Hsu‐Pin Wang. (1993). MIXED-DISCRETE NONLINEAR OPTIMIZATION WITH SIMULATED ANNEALING. Engineering Optimization. 21(4). 277–291. 90 indexed citations
6.
Lin, Cheng-Jung & Hsu‐Pin Wang. (1993). Optimal operation planning and sequencing: minimization of tool changeovers. International Journal of Production Research. 31(2). 311–324. 39 indexed citations
7.
Lin, Chang‐Ching & Hsu‐Pin Wang. (1993). Classification of autoregressive spectral estimated signal patterns using an adaptive resonance theory neural network. Computers in Industry. 22(2). 143–157. 14 indexed citations
8.
Wang, Hsu‐Pin, et al.. (1993). Machine fault classification using an ART 2 neural network. The International Journal of Advanced Manufacturing Technology. 8(4). 194–199. 1 indexed citations
9.
Chun, Zhang & Hsu‐Pin Wang. (1993). Integrated tolerance optimisation with simulated annealing. The International Journal of Advanced Manufacturing Technology. 8(3). 167–174. 38 indexed citations
10.
Xu, Haiping & Hsu‐Pin Wang. (1992). OPTIMAL INVENTORY POLICY FOR PERISHABLE ITEMS WITH TIME PROPORTIONAL DEMAND. IIE Transactions. 24(5). 105–110. 20 indexed citations
11.
Knapp, Gerald M. & Hsu‐Pin Wang. (1992). Acquiring, storing and utilizing process planning knowledge using neural networks. Journal of Intelligent Manufacturing. 3(5). 333–344. 20 indexed citations
12.
Knapp, Gerald M. & Hsu‐Pin Wang. (1992). Machine fault classification: a neural network approach. International Journal of Production Research. 30(4). 811–823. 45 indexed citations
13.
Wang, Hsu‐Pin, et al.. (1991). Conflict detection of automated guided vehicles: a Petri net approach. International Journal of Production Research. 29(5). 866–879. 44 indexed citations
14.
Wang, Hsu‐Pin, et al.. (1990). Controlling a Robotic Cell by Dynamic Rule Despatching– A Simulation Study. International Journal of Operations & Production Management. 10(4). 51–64. 1 indexed citations
15.
Wang, Hsu‐Pin, et al.. (1990). Determining the number of kanbans: a step toward non-stock-production. International Journal of Production Research. 28(11). 2101–2115. 46 indexed citations
16.
Xu, Haiping & Hsu‐Pin Wang. (1990). An economic ordering policy model for deteriorating items with time proportional demand. European Journal of Operational Research. 46(1). 21–27. 53 indexed citations
17.
Wang, Hsu‐Pin & Richard A. Wysk. (1988). AIMSI: a prelude to a new generation of integrated CAD/CAM systems. International Journal of Production Research. 26(1). 119–131. 35 indexed citations
18.
Chu, Chao‐Hsien & Hsu‐Pin Wang. (1988). The Use of Artificial Intelligence in Process Planning. International Journal of Operations & Production Management. 8(1). 5–18. 13 indexed citations
19.
Wang, Hsu‐Pin. (1988). A layered architecture for manufacturing operation planning. Computers & Industrial Engineering. 14(2). 201–210. 6 indexed citations
20.
Chu, Chao‐Hsien, et al.. (1988). On the design of an intelligent micro-based DSS for line balancing. Computers & Industrial Engineering. 14(4). 419–427. 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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