P. Sheng

37 papers receiving 773 citations

Peers

P. Sheng
Comparison fields: 5 of 63
  • Industrial and Manufacturing Engineering 362
  • Renewable Energy, Sustainability and the Environment 203
  • Computational Mechanics 252
  • Chemical Health and Safety 7
  • Mechanical Engineering 354
Replace Rosa Di Lorenzo with:
Rosa Di Lorenzo Italy
Paul Sheng United States
Apostolos Fysikopoulos Greece
D. A. Dornfeld United States
E. R. Maki United States
Shitong Peng China
B.T. Hang Tuah Baharudin Malaysia
W.A. Knight United States
Parag Vichare United Kingdom
Eun-Seob Kim South Korea
P. Sheng relative to Rosa Di Lorenzo Italy Rosa Di Lorenzo's profile →
Citations per field
00.5×3.3×
Rosa Di Lorenzo · 1×
Citations per year

Countries citing papers authored by P. Sheng

Since Specialization
Citations

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

Fields of papers citing papers by P. Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Sheng. 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 P. Sheng. The network helps show where P. Sheng may publish in the future.

Co-authors

The 20 scholars most cited alongside P. Sheng, 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 P. Sheng Line = papers co-authored together P. Sheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995171
2 199571
3 199564
4 199957
5 199950
6 199541
7 199038
8 199630
9 199426
10 198826
11 199724
12 200224
13 200424
14 199623
15 199322
16 200019
17 199817
18 199117
19 199813
20 199412

About P. Sheng

P. Sheng is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Computational Mechanics, Industrial and Manufacturing Engineering and Biomedical Engineering, having authored 38 papers that have together received 834 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (17 papers), Laser Material Processing Techniques (12 papers), Recycling and Waste Management Techniques (9 papers), Advanced machining processes and optimization (9 papers), Advanced Surface Polishing Techniques (9 papers), Additive Manufacturing and 3D Printing Technologies (8 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers) and Sustainable Supply Chain Management (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (362 citations), Renewable Energy, Sustainability and the Environment (203 citations), Computational Mechanics (252 citations), Chemical Health and Safety (7 citations) and Mechanical Engineering (354 citations). P. Sheng has collaborated with scholars based in United States. Frequent co-authors include Mahesh Srinivasan, George Chryssolouris, Shunsuke Kobayashi, Wonjoon Choi, Edgar G. Hertwich, F. von Alvensleben, Joe Mattis, B. F. von Turkovich, C.F. Murphy and Catherine P. Koshland. Their work appears in journals such as CIRP Annals, Journal of Materials Processing Technology, Journal of Manufacturing Science and Engineering, IEEE Transactions on Electronics Packaging Manufacturing and Robotics and Computer-Integrated Manufacturing.

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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