Kaihua Tang

3.2k total citations · 4 hit papers
14 papers, 1.7k citations indexed

About

Kaihua Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Kaihua Tang has authored 14 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Kaihua Tang's work include Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Kaihua Tang is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Kaihua Tang collaborates with scholars based in China, Singapore and Cayman Islands. Kaihua Tang's co-authors include Hanwang Zhang, Xu Yang, Jianfei Cai, Yulei Niu, Jiaxin Shi, Jianqiang Huang, Xian‐Sheng Hua, Wei Liu, Baoyuan Wu and Wenhan Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Kaihua Tang

11 papers receiving 1.7k citations

Hit Papers

Auto-Encoding Scene Graphs for Image Captioning 2019 2026 2021 2023 2019 2020 2019 2021 100 200 300 400 500

Peers

Kaihua Tang
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 1.5k
  • Artificial Intelligence 1.1k
  • Information Systems 36
  • Radiology, Nuclear Medicine and Imaging 24
  • Geography, Planning and Development 24
Replace Yulei Niu with:
Yulei Niu China
Justin Johnson United States
Hao Tan United States
Nikhil Rasiwasia United States
Nan Ding China
Jinpeng Wang China
Emanuele Coviello United States
Santosh Divvala United States
Yu Cheng United States
Yulei Niu China View profile →
Citations per field, relative to Kaihua Tang
Kaihua Tang · 1×
Citations per year, relative to Kaihua Tang
Kaihua Tang · 1×

Countries citing papers authored by Kaihua Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kaihua Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaihua Tang

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 5
6 108
7 7
8
Counterfactual VQA: A Cause-Effect Look at Language Bias breakdown →
266
9 13
10
Unbiased Scene Graph Generation From Biased Training breakdown →
429
11
Learning to Compose Dynamic Tree Structures for Visual Contexts breakdown →
332
12
Auto-Encoding Scene Graphs for Image Captioning breakdown →
530
13
Auto-Encoding Graphical Inductive Bias for Descriptive Image Captioning
1
14 4

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

Rankless by CCL
2026