Xiaokang Peng

524 total citations · 1 hit paper
17 papers, 293 citations indexed

About

Xiaokang Peng is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, Xiaokang Peng has authored 17 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Microbiology and 4 papers in Infectious Diseases. Recurrent topics in Xiaokang Peng's work include Bacterial Infections and Vaccines (6 papers), Pneumonia and Respiratory Infections (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Xiaokang Peng is often cited by papers focused on Bacterial Infections and Vaccines (6 papers), Pneumonia and Respiratory Infections (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Xiaokang Peng collaborates with scholars based in China, Finland and Australia. Xiaokang Peng's co-authors include Dong Wang, Yake Wei, Di Hu, Yarong Li, Yang Luan, Sophie Octavia, Ruiting Lan, Michael Payne, Hua Cheng and Hua Zhang and has published in prestigious journals such as IEEE Access, Medicine and Vaccine.

In The Last Decade

Xiaokang Peng

14 papers receiving 287 citations

Hit Papers

Balanced Multimodal Learning via On-the-fly Gradient Modu... 2022 2026 2023 2024 2022 50 100 150

Peers

Xiaokang Peng
Comparison fields: 5 of 83
  • Artificial Intelligence 85
  • Computer Vision and Pattern Recognition 73
  • Epidemiology 73
  • Microbiology 66
  • Infectious Diseases 33
Replace Maithra Raghu with:
Maithra Raghu United States
Fan Cheng China
Ahmar Rashid Pakistan
Sangeeta Bhattacharya India
Morghan Hartmann United States
K. S. Swathi India
Sumit Datta India
Mohamed Zahran United States
Mubarak Taiwo Mustapha Cyprus
Yuanda Zhu United States
Maithra Raghu United States View profile →
Citations per field, relative to Xiaokang Peng
Xiaokang Peng · 1×
Citations per year, relative to Xiaokang Peng
Xiaokang Peng · 1×

Countries citing papers authored by Xiaokang Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokang Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokang Peng

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 0
3 8
4 1
5 0
6 2
7 25
8 5
9 22
10
Balanced Multimodal Learning via On-the-fly Gradient Modulation breakdown →
154
11 7
12 1
13 8
14 47
15 7
16 5
17
[Recognizing the vaccination strategy of pertussis according to the family aggregation feature of transmission].
1

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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