Tinghua Ai

3.9k total citations
176 papers, 2.8k citations indexed

About

Tinghua Ai is a scholar working on Geography, Planning and Development, Signal Processing and Ocean Engineering. According to data from OpenAlex, Tinghua Ai has authored 176 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Geography, Planning and Development, 64 papers in Signal Processing and 44 papers in Ocean Engineering. Recurrent topics in Tinghua Ai's work include Geographic Information Systems Studies (85 papers), Data Management and Algorithms (64 papers) and Automated Road and Building Extraction (39 papers). Tinghua Ai is often cited by papers focused on Geographic Information Systems Studies (85 papers), Data Management and Algorithms (64 papers) and Automated Road and Building Extraction (39 papers). Tinghua Ai collaborates with scholars based in China, Netherlands and Germany. Tinghua Ai's co-authors include Min Yang, Xiongfeng Yan, Wenhao Yu, Jingzhong Li, Yaolin Liu, Jantien Stoter, Wenhao Yu, Pengcheng Liu, Zhilin Li and Xiang Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Tinghua Ai

171 papers receiving 2.7k citations

Peers

Tinghua Ai
Comparison fields: 5 of 112
  • Geography, Planning and Development 951
  • Ocean Engineering 799
  • Global and Planetary Change 717
  • Signal Processing 571
  • Computer Vision and Pattern Recognition 521
Replace Monika Sester with:
Monika Sester Germany
Hongchao Fan China
Guonian Lü China
Liqiu Meng Germany
Qing Zhu China
Filip Biljecki Singapore
Zhong Xie China
Christian Heipke Germany
Maria Antonia Brovelli Italy
Jantien Stoter Netherlands
Monika Sester Germany View profile →
Citations per field, relative to Tinghua Ai
Tinghua Ai · 1×
Citations per year, relative to Tinghua Ai
Tinghua Ai · 1×

Countries citing papers authored by Tinghua Ai

Since Specialization
Citations

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

Fields of papers citing papers by Tinghua Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tinghua Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Tinghua Ai. A scholar is included among the top collaborators of Tinghua Ai 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 Tinghua Ai. Tinghua Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 27
2 5
3 1
4 10
5 8
6 2
7 4
8 6
9 21
10 4
11 4
12 6
13 3
14 6
15 4
16 12
17 54
18 1
19 6
20 17

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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