Weihua Peng

1.8k citations
29 papers · 722 indexed · 1 hit paper · h-index 9
Topics
Topic Modeling (16 papers)Natural Language Processing Techniques (9 papers)Biomedical Text Mining and Ontologies (5 papers)

In The Last Decade

Weihua Peng

26 papers receiving 699 citations

Hit Papers

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

Peers

Weihua Peng
Comparison fields: 5 of 113
  • Artificial Intelligence 484
  • Information Systems 109
  • Molecular Biology 86
  • Management Science and Operations Research 62
  • Health Informatics 60
Replace Weitao Ma with:
Weitao Ma China
Loredana Caruccio Italy
Oscar Sainz Spain
Mauro Dragoni Italy
Hayley Ross United States
Swaroop Mishra United States
Zhuosheng Zhang China
Kartik Talamadupula United States
Alon Jacovi Israel
Bing Yin United States
Weihua Peng relative to Weitao Ma China Weitao Ma's profile →
Citations per field
00.5×3.3×
Weitao Ma · 1×
Citations per year

Countries citing papers authored by Weihua Peng

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihua Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Peng. A scholar is included among the top collaborators of Weihua Peng 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 Weihua Peng. Weihua Peng 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 0
3 0
4 10
5 6
6 1
7
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questionsbreakdown →
409
8 2
9 19
10 1
11 38
12 8
13 5
14 2
15 32
16 31
17 3
18 95
19 22
20 7

About Weihua Peng

Weihua Peng is a scholar working on Biological Psychiatry, Artificial Intelligence and Dermatology, having authored 29 papers that have together received 722 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (9 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Health Informatics (60 citations), Artificial Intelligence (484 citations) and Management Science and Operations Research (62 citations). Weihua Peng has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Xiaocheng Feng, Weijiang Yu, Zhangyin Feng, Weihong Zhong, Weitao Ma, Qianglong Chen, Ting Liu, Lei Huang, Haotian Wang and Bing Qin. Their work appears in journals such as Scientific Reports, Frontiers in Immunology and Molecules.

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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