Te Liang

1.0k citations
32 papers · 553 indexed · h-index 12

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • Animal Virus Infections Studies

Papers in

Te Liang

27 papers receiving 548 citations

Peers

Te Liang
Comparison fields: 5 of 90
  • Infectious Diseases 280
  • Animal Science and Zoology 77
  • Agronomy and Crop Science 60
  • Biomedical Engineering 168
  • Cardiology and Cardiovascular Medicine 86
Replace Chengbao Wang with:
Chengbao Wang China
Lizhou Zhang China
Tiecheng Wang China
Zhimin Wan China
Hiroki Sato Japan
Tongyan Wang China
Zezhong Liu China
Qian He China
Yan‐Peng Xu China
Te Liang relative to Chengbao Wang China Chengbao Wang's profile →
Citations per field
00.5×1.5×
Chengbao Wang · 1×
Citations per year

Countries citing papers authored by Te Liang

Since Specialization
Citations

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

Fields of papers citing papers by Te Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021122
2 2020118
3 202066
4 202042
5 201628
6 201328
7 201821
8 201417
9 201914
10 202014
11 201512
12 201612
13 202210
14 20179
15 20238
16 20227
17 20224
18 20224
19 20243
20 20233

About Te Liang

Te Liang is a scholar working on Infectious Diseases, Animal Science and Zoology, Bioengineering, Agronomy and Crop Science and Ecological Modeling, having authored 32 papers that have together received 553 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Viral Infections and Immunology Research (5 papers), Animal Virus Infections Studies (4 papers), SARS-CoV-2 detection and testing (4 papers), Virology and Viral Diseases (4 papers), Mosquito-borne diseases and control (4 papers), Sensor Technology and Measurement Systems (3 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (280 citations), Animal Science and Zoology (77 citations), Agronomy and Crop Science (60 citations), Biomedical Engineering (168 citations) and Cardiology and Cardiovascular Medicine (86 citations). Te Liang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Hongye Wang, Xiaobo Yu, Xiaomei Zhang, Dan Wang, Jiayu Dai, Ruzhan Qin, Mingjun Hu, Guangcun Shan, Xin Li and Jinzhang Liu. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, Virus Research, Measurement, Molecular & Cellular Proteomics and Insects.

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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