Tianli Tang

669 citations
26 papers · 404 indexed · 1 hit paper · h-index 10

Tianli Tang

22 papers receiving 391 citations

Hit Papers

A literature review of Artificial Intelligence applicatio...13920222026202320244080120

Peers

Tianli Tang
Comparison fields: 5 of 90
  • Transportation 137
  • Building and Construction 126
  • Industrial and Manufacturing Engineering 91
  • Automotive Engineering 46
  • Media Technology 21
Replace Svetla Stoilova with:
Svetla Stoilova Bulgaria
T. Pamuła Poland
Baoming Han China
Hongfei Jia China
Nikola Marković United States
Sarah Hernandez United States
Haoxiang Liu China
Zhipeng Zhang China
Sadko Mandžuka Croatia
Tianli Tang relative to Svetla Stoilova Bulgaria Svetla Stoilova's profile →
Citations per field
00.5×4.1×
Svetla Stoilova · 1×
Citations per year

Countries citing papers authored by Tianli Tang

Since Specialization
Citations

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

Fields of papers citing papers by Tianli Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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A literature review of Artificial Intelligence applications in railway systemsbreakdown →
2022139
15 202210
16 20224
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19 202116
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The embryonic development of Penaeus vannamei and effect of temperature and salinity on embryonic development
20024

About Tianli Tang

Tianli Tang is a scholar working on Transportation, Building and Construction and Radiological and Ultrasound Technology, having authored 26 papers that have together received 404 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (12 papers), Traffic Prediction and Management Techniques (11 papers), Human Mobility and Location-Based Analysis (10 papers), Urban Transport and Accessibility (6 papers), Aquaculture Nutrition and Growth (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Physiological and biochemical adaptations (2 papers) and Traffic control and management (2 papers). The work is most often cited by research in Transportation (137 citations), Building and Construction (126 citations) and Industrial and Manufacturing Engineering (91 citations). Tianli Tang has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Ronghui Liu, Charisma F. Choudhury, Lorenzo De Donato, Nikola Bešinović, Valeria Vittorini, Zhiyuan Lin, Rob M.P. Goverde, Francesco Flammini, Achille Fonzone and Xiangping Nie. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Pollution and IEEE Transactions on Intelligent Transportation Systems.

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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