Tianhai Wang

1.2k total citations · 2 hit papers
18 papers, 799 citations indexed

About

Tianhai Wang is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Molecular Biology. According to data from OpenAlex, Tianhai Wang has authored 18 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Plant Science and 4 papers in Molecular Biology. Recurrent topics in Tianhai Wang's work include Smart Agriculture and AI (5 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). Tianhai Wang is often cited by papers focused on Smart Agriculture and AI (5 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). Tianhai Wang collaborates with scholars based in China and Saudi Arabia. Tianhai Wang's co-authors include Yanzhou Li, Hongkun Tian, Xi Qiao, Yadong Liu, Han Li, Zhenqian Zhang, Bao‐Ji Chen, Man Zhang, Cheng Xiao and Chunyi Zhou and has published in prestigious journals such as Frontiers in Plant Science, European Journal of Pharmacology and Neuropharmacology.

In The Last Decade

Tianhai Wang

16 papers receiving 773 citations

Hit Papers

Computer vision technology in agricultural automation —A ... 2019 2026 2021 2023 2019 2022 100 200 300 400

Peers

Tianhai Wang
Comparison fields: 5 of 111
  • Plant Science 442
  • Ecology 128
  • Computer Vision and Pattern Recognition 120
  • Analytical Chemistry 102
  • Environmental Engineering 61
Replace Jiajun Zhuang with:
Jiajun Zhuang China
Zhaojian Li China
Εleni Vrochidou Greece
Andrew English Australia
Abdul Bais Canada
Fuzeng Yang China
Amy Tabb United States
Hongxing Peng China
Waqar S. Qureshi Pakistan
Xuewei Chao China
Jiajun Zhuang China View profile →
Citations per field, relative to Tianhai Wang
Tianhai Wang · 1×
Citations per year, relative to Tianhai Wang
Tianhai Wang · 1×

Countries citing papers authored by Tianhai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianhai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianhai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tianhai Wang. A scholar is included among the top collaborators of Tianhai Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tianhai Wang. Tianhai Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 6
2 5
3 0
4 1
5 37
6 4
7 5
8 1
9 2
10 23
11
Applications of machine vision in agricultural robot navigation: A review breakdown →
140
12 42
13 8
14 7
15 32
16 11
17
Computer vision technology in agricultural automation —A review breakdown →
441
18 34

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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