Tinghua Ai

173 papers receiving 2.8k citations

Peers

Tinghua Ai
Comparison fields: 5 of 112
  • Geography, Planning and Development 961
  • Transportation 496
  • Signal Processing 578
  • Ocean Engineering 810
  • Media Technology 314
Replace Monika Sester with:
Monika Sester Germany
Hongchao Fan China
Liqiu Meng Germany
Guonian Lü China
Qing Zhu China
Filip Biljecki Singapore
Sisi Zlatanova Netherlands
Zhong Xie China
David H. Douglas Canada
Christian Heipke Germany
Tinghua Ai relative to Monika Sester Germany Monika Sester's profile →
Citations per field
00.5×1.5×2.4×
Monika Sester · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019196
2 2015140
3 2004128
4 2014105
5 202087
6 201377
7 201176
8 201568
9 202259
10 201658
11 201356
12 200956
13 200755
14 201654
15 201351
16 201947
17 202046
18 201844
19 201544
20 201442

About Tinghua Ai

Tinghua Ai is a scholar working on Geography, Planning and Development, Signal Processing, Ocean Engineering, Computer Vision and Pattern Recognition and Global and Planetary Change, having authored 176 papers that have together received 2.9k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (85 papers), Data Management and Algorithms (64 papers), Automated Road and Building Extraction (39 papers), Remote Sensing and Land Use (20 papers), Land Use and Ecosystem Services (19 papers), Advanced Computational Techniques and Applications (19 papers), Human Mobility and Location-Based Analysis (15 papers) and Remote-Sensing Image Classification (14 papers). The work is most often cited by research in Geography, Planning and Development (961 citations), Transportation (496 citations), Signal Processing (578 citations), Ocean Engineering (810 citations) and Media Technology (314 citations). Tinghua Ai has collaborated with scholars based in China, Netherlands and Germany. Frequent co-authors include Min Yang, Xiongfeng Yan, Wenhao Yu, Jingzhong Li, Yaolin Liu, Jantien Stoter, Wenhao Yu, Pengcheng Liu, Xiang Zhang and Zhilin Li. Their work appears in journals such as ISPRS International Journal of Geo-Information, International Journal of Applied Earth Observation and Geoinformation, Computers Environment and Urban Systems, Cartography and Geographic Information Science and Geo-spatial Information Science.

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.

Explore authors with similar magnitude of impact