Sheng Qi

5.0k citations
135 papers · 3.9k · h-index 36

Impact in

Papers in

Sheng Qi

131 papers receiving 3.8k citations

Peers

Sheng Qi
Comparison fields: 5 of 161
  • Pharmaceutical Science 1.1k
  • Automotive Engineering 597
  • Biomaterials 448
  • Safety, Risk, Reliability and Quality 251
  • Statistics, Probability and Uncertainty 187
Replace Brian K. Johnson with:
Brian K. Johnson United States
Nan Zhang China
Seong Hoon Jeong South Korea
Hua Li China
José Carlos Pinto Brazil
Chun‐Hung Chen Taiwan
P.C. Pándey India
Yonghui Sun China
Costas Kiparissides Greece
Sung‐Ho Kim South Korea
Sheng Qi relative to Brian K. Johnson United States Brian K. Johnson's profile →
Citations per field
00.5×10.4×
Brian K. Johnson · 1×
Citations per year

Countries citing papers authored by Sheng Qi

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sheng Qi, 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 Sheng Qi Line = papers co-authored together Sheng Qi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016217
2 2015195
3 2014150
4 2019136
5 2018124
6 2007118
7 201091
8 201289
9 201586
10 201585
11 201984
12 201980
13 201571
14 201071
15 201667
16 201667
17 200764
18 201662
19 201955
20 200954

About Sheng Qi

Sheng Qi is a scholar working on Pharmaceutical Science, Biomedical Engineering, Aerospace Engineering, Materials Chemistry and Automotive Engineering, having authored 135 papers that have together received 3.9k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (36 papers), Crystallization and Solubility Studies (18 papers), 3D Printing in Biomedical Research (17 papers), Additive Manufacturing and 3D Printing Technologies (14 papers), Combustion and Detonation Processes (13 papers), Advanced Drug Delivery Systems (13 papers), Risk and Safety Analysis (12 papers) and Fire dynamics and safety research (11 papers). The work is most often cited by research in Pharmaceutical Science (1.1k citations), Automotive Engineering (597 citations), Biomaterials (448 citations), Safety, Risk, Reliability and Quality (251 citations) and Statistics, Probability and Uncertainty (187 citations). Sheng Qi has collaborated with scholars based in United Kingdom, China and Iraq. Frequent co-authors include Peter Belton, Duncan Q.M. Craig, Muqdad Alhijjaj, Dingde Jiang, Ping Nie, Ziyi Yang, Yang Du, Jehad Nasereddin, Shengyang Dong and Yaoyao Zhu. Their work appears in journals such as International Journal of Pharmaceutics, Pharmaceutical Research, Journal of Pharmaceutical Sciences, Molecular Pharmaceutics and European Journal of Pharmaceutics and Biopharmaceutics.

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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