Haotian Wang

1.6k citations
26 papers · 555 indexed · 1 hit paper · h-index 8
Topics
Topic Modeling (7 papers)Domain Adaptation and Few-Shot Learning (4 papers)Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Haotian Wang

24 papers receiving 534 citations

Hit Papers

A Survey on Hallucination in Large Language Models: Princ...2024202620252024100200300400

Peers

Haotian Wang
Comparison fields: 5 of 110
  • Artificial Intelligence 273
  • Information Systems 57
  • Health Informatics 57
  • Computer Vision and Pattern Recognition 52
  • Mechanical Engineering 45
Replace Daniel Smilkov with:
Daniel Smilkov North Macedonia
Nur Mohammad Fahad Bangladesh
Federico Cerutti United Kingdom
Ruixiang Tang United States
Chengwei Qin China
Haoming Jiang United States
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Zonghan Yang China
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Haotian Wang relative to Daniel Smilkov North Macedonia Daniel Smilkov's profile →
Citations per field
00.5×10×16.1×
Daniel Smilkov · 1×
Citations per year

Countries citing papers authored by Haotian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haotian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haotian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haotian Wang. A scholar is included among the top collaborators of Haotian 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 Haotian Wang. Haotian Wang 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
#WorkIndexed citations
1 0
2 3
3 1
4 3
5 2
6 3
7 8
8 1
9
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questionsbreakdown →
409
10 19
11 27
12 18
13 7
14 1
15 1
16 7
17 2
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19 6
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About Haotian Wang

Haotian Wang is a scholar working on Health Informatics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 555 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers). The work is most often cited by research in Health Informatics (57 citations), Artificial Intelligence (273 citations) and Fluid Flow and Transfer Processes (21 citations). Haotian Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weijiang Yu, Qianglong Chen, Xiaocheng Feng, Zhangyin Feng, Weihong Zhong, Weitao Ma, Ting Liu, Lei Huang, Bing Qin and Weihua Peng. Their work appears in journals such as Applied Energy, Expert Systems with Applications and Sensors.

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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