Samuel H. Huang
- Industrial and Manufacturing Engineering top 0.1%
- Strategy and Management top 0.5%
- Automotive Engineering top 0.5%
- Management Information Systems top 0.2%
- Mechanical Engineering top 1%
- Co-authors
- Liang HouPeng LiuHongchao ZhangJohn P. DismukesTsai‐Chi KuoRanganath KothamasuWilliam H. VerDuinGe Wang
- Topics
- Manufacturing Process and Optimization (29 papers)Product Development and Customization (12 papers)Neural Networks and Applications (11 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Information SystemsAutomotive Engineering
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Samuel H. Huang
101 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Industrial and Manufacturing Engineering 1.9k
- Strategy and Management 1.6k
- Automotive Engineering 1.4k
- Management Information Systems 1.4k
- Mechanical Engineering 1.2k
Countries citing papers authored by Samuel H. Huang
This map shows the geographic impact of Samuel H. Huang'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 Samuel H. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel H. Huang more than expected).
Fields of papers citing papers by Samuel H. Huang
This network shows the impact of papers produced by Samuel H. Huang. 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 Samuel H. Huang. The network helps show where Samuel H. Huang may publish in the future.
Co-authorship network of co-authors of Samuel H. Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel H. Huang. A scholar is included among the top collaborators of Samuel H. Huang 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 Samuel H. Huang. Samuel H. Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 30 | |
| 5 | 36 | |
| 6 | 188 | |
| 7 | 2 | |
| 8 | 20 | |
| 9 | 88 | |
| 10 | Research on Neural Cryptographic Protocols | 2 |
| 11 | 22 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 96 | |
| 15 | 2 | |
| 16 | 78 | |
| 17 | 136 | |
| 18 | 9 | |
| 19 | 19 | |
| 20 | 62 |
About Samuel H. Huang
Samuel H. Huang is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Management Information Systems, having authored 107 papers that have together received 6.3k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (29 papers), Product Development and Customization (12 papers) and Neural Networks and Applications (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.9k citations), Management Information Systems (1.4k citations) and Automotive Engineering (1.4k citations). Samuel H. Huang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Liang Hou, Peng Liu, Hongchao Zhang, John P. Dismukes, Tsai‐Chi Kuo, Ranganath Kothamasu, William H. VerDuin, Ge Wang, Mark A. Vonderembse and Huitian Lu. Their work appears in journals such as Macromolecules, Journal of Cleaner Production and Chemical Engineering Journal.
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.