Shida Tang

26 papers receiving 448 citations

Peers

Shida Tang
Comparison fields: 5 of 92
  • Health, Toxicology and Mutagenesis 164
  • Automotive Engineering 146
  • Fluid Flow and Transfer Processes 72
  • Paleontology 69
  • Geochemistry and Petrology 46
Replace Nasr Y. M. Omar with:
Nasr Y. M. Omar Malaysia
Sarah G. Riddle United States
Richard J. Countess United States
A. Traini Italy
Anne-Marie Desaulty France
Gülcin Abbaszade Germany
T.J. Kneip United States
E. Puskaric France
G. Capannesi Italy
Suresh Raja United States
Shida Tang relative to Nasr Y. M. Omar Malaysia Nasr Y. M. Omar's profile →
Citations per field
00.5×10×15×20×24×
Nasr Y. M. Omar · 1×
Citations per year

Countries citing papers authored by Shida Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shida Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 200747
3 200234
4 200333
5 199527
6 200226
7 200424
8 200424
9 202124
10 201623
11 200221
12 200717
13 199616
14 199716
15 202314
16 200114
17 199913
18 202212
19 20219
20 19959

About Shida Tang

Shida Tang is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering and Pollution, having authored 26 papers that have together received 474 indexed citations. Recurring topics across this work include Vehicle emissions and performance (10 papers), Air Quality and Health Impacts (6 papers), Atmospheric chemistry and aerosols (4 papers), Air Quality Monitoring and Forecasting (4 papers), Trace Elements in Health (4 papers), Aluminum toxicity and tolerance in plants and animals (3 papers), Advanced Combustion Engine Technologies (3 papers) and Heavy Metal Exposure and Toxicity (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (164 citations), Automotive Engineering (146 citations), Fluid Flow and Transfer Processes (72 citations), Paleontology (69 citations) and Geochemistry and Petrology (46 citations). Shida Tang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Patrick J. Parsons, Brian P. Frank, Thomas Lanni, Walter Slavin, Greg Rideout, Thomas J. Algeo, Andrew C. Todd, Robert MacColl, Ciaran Geraghty and Erin Moshier. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of the Air & Waste Management Association, Environmental Science & Technology, Physics in Medicine and Biology and Journal of Analytical Atomic Spectrometry.

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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