Dehong Gao

964 total citations
48 papers, 516 citations indexed

About

Dehong Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dehong Gao has authored 48 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Dehong Gao's work include Topic Modeling (22 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (8 papers). Dehong Gao is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (8 papers). Dehong Gao collaborates with scholars based in China, Hong Kong and United States. Dehong Gao's co-authors include Wenjie Li, Renxian Zhang, Linbo Jin, Minghui Qiu, Yuexian Hou, Deng-Ping Fan, You Ouyang, Mingchen Zhuge, Ben Chen and Yi Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Dehong Gao

42 papers receiving 485 citations

Peers

Dehong Gao
Comparison fields: 5 of 71
  • Artificial Intelligence 321
  • Computer Vision and Pattern Recognition 192
  • Information Systems 109
  • Statistical and Nonlinear Physics 42
  • Sociology and Political Science 23
Replace S. Chitrakala with:
S. Chitrakala India
Leonardo Neves United States
Hansu Gu United States
Dazhen Lin China
Tiberio Uricchio Italy
Seema Nagar India
Adam Trischler United States
Danilo Croce Italy
Yushun Dong United States
Yozen Liu United States
S. Chitrakala India View profile →
Citations per field, relative to Dehong Gao
Dehong Gao · 1×
Citations per year, relative to Dehong Gao
Dehong Gao · 1×

Countries citing papers authored by Dehong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Dehong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Dehong Gao. A scholar is included among the top collaborators of Dehong Gao 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 Dehong Gao. Dehong Gao 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 1
2 1
3 1
4 0
5 8
6 0
7 9
8 1
9 15
10 2
11 0
12 1
13 17
14 11
15 11
16
Sequential Summarization: A New Application for Timely Updated Twitter Trending Topics
7
17
Cotraining based bilingual sentiment lexicon learning
10
18
Beyond Twitter Text: A Preliminary Study on Twitter Hyperlink and its Application
1
19
Simultaneous Clustering and Noise Detection for Theme-based Summarization
3
20
What are tweeters doing: recognizing speech acts in twitter
28

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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