S. Jack Hu

6.1k citations
113 papers · 4.7k indexed · 2 hit papers · h-index 39

Impact in

Papers in

S. Jack Hu

107 papers receiving 4.6k citations

Hit Papers

Exosomes from young healthy human plasma promote functional recovery from intracerebral hemorrhage via counteracting ferroptotic injury 2023 · 80 citations
802013202620172021100200300

Peers

S. Jack Hu
Comparison fields: 5 of 179
  • Industrial and Manufacturing Engineering 2.7k
  • Management of Technology and Innovation 1.2k
  • Automotive Engineering 496
  • Mechanical Engineering 1.3k
  • Management Information Systems 166
Replace Jianrong Tan with:
Jianrong Tan China
Rahul Rai United States
Waguih ElMaraghy Canada
Sanjay Joshi United States
Miguel Ángel Sebastián Pérez Spain
Yong Zeng Canada
Jinsong Bao China
Wenjun Xu China
Joaquim Ciurana Spain
Sandro Wartzack Germany
S. Jack Hu relative to Jianrong Tan China Jianrong Tan's profile →
Citations per field
00.5×4.2×
Jianrong Tan · 1×
Citations per year

Countries citing papers authored by S. Jack Hu

Since Specialization
Citations

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

Fields of papers citing papers by S. Jack Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside S. Jack Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Jack Hu Line = papers co-authored together S. Jack Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202423
3 20212
4 202176
5 202110
6 201938
7 20197
8 201532
9 201512
10 201423
11 201414
12 201448
13 201412
14 201460
15 201233
16 201148
17 200920
18 200832
19
Selecting Process Parameters and Machine Tolerances for Optimal System Performance
20080
20 200823

About S. Jack Hu

S. Jack Hu is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation, Mechanical Engineering, Neurology and Genetics, having authored 113 papers that have together received 4.7k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (55 papers), Product Development and Customization (33 papers), Flexible and Reconfigurable Manufacturing Systems (18 papers), Assembly Line Balancing Optimization (12 papers), Advanced Measurement and Metrology Techniques (12 papers), Design Education and Practice (11 papers), Advanced machining processes and optimization (8 papers) and Mosquito-borne diseases and control (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (2.7k citations), Management of Technology and Innovation (1.2k citations), Automotive Engineering (496 citations), Mechanical Engineering (1.3k citations) and Management Information Systems (166 citations). S. Jack Hu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yoram Koren, Jaime A. Camelio, Dariusz Ceglarek, Wayne Cai, Hua Feng, Samuel P. Marin, H. Wang, Xiaowei Zhu, J. Yuan and Jeonghan Ko. Their work appears in journals such as Journal of Manufacturing Science and Engineering, CIRP Annals, Journal of Manufacturing Systems, Journal of Mechanical Design and Molecular Neurobiology.

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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