Chengfeng Mao

693 total citations · 1 hit paper
4 papers, 367 citations indexed

About

Chengfeng Mao is a scholar working on Artificial Intelligence, Health Informatics and Environmental Engineering. According to data from OpenAlex, Chengfeng Mao has authored 4 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Health Informatics and 1 paper in Environmental Engineering. Recurrent topics in Chengfeng Mao's work include Topic Modeling (3 papers), Advanced Text Analysis Techniques (1 paper) and Speech and dialogue systems (1 paper). Chengfeng Mao is often cited by papers focused on Topic Modeling (3 papers), Advanced Text Analysis Techniques (1 paper) and Speech and dialogue systems (1 paper). Chengfeng Mao collaborates with scholars based in United States, China and Canada. Chengfeng Mao's co-authors include Wasifur Rahman, Md. Kamrul Hasan, Louis–Philippe Morency, Sangwu Lee, Ehsan Hoque, AmirAli Bagher Zadeh, Lei Clifton, Fenglin Liu, Yining Hua and Dokyun Lee and has published in prestigious journals such as Frontiers in Microbiology, Information Systems Research and PubMed.

In The Last Decade

Chengfeng Mao

4 papers receiving 359 citations

Hit Papers

Integrating Multimodal Information in Large Pretrained Tr... 2020 2026 2022 2024 2020 100 200 300

Peers

Chengfeng Mao
Sangwu Lee United States
Tim Schlippe Germany
Eli Pincus United States
Nouha Dziri United States
Lal Khan Taiwan
Sangwu Lee United States
Chengfeng Mao
Citations per year, relative to Chengfeng Mao Chengfeng Mao (= 1×) peers Sangwu Lee

Countries citing papers authored by Chengfeng Mao

Since Specialization
Citations

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

Fields of papers citing papers by Chengfeng Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengfeng Mao

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

All Works

4 of 4 papers shown
1.
Liu, Fenglin, Hongjian Zhou, Yining Hua, et al.. (2025). Application of large language models in medicine. Nature Reviews Bioengineering. 3(6). 445–464. 12 indexed citations
2.
Lee, Dokyun, et al.. (2024). Guided Diverse Concept Miner (GDCM): Uncovering Relevant Constructs for Managerial Insights from Text. Information Systems Research. 36(1). 370–393. 2 indexed citations
3.
Hu, Xiaobing, Yulong Fan, Chengfeng Mao, Hui Chen, & Qiang Wang. (2023). Application of transposon insertion site sequencing method in the exploration of gene function in microalgae. Frontiers in Microbiology. 14. 1111794–1111794. 2 indexed citations
4.
Rahman, Wasifur, Md. Kamrul Hasan, Sangwu Lee, et al.. (2020). Integrating Multimodal Information in Large Pretrained Transformers. PubMed. 2020. 2359–2369. 351 indexed citations breakdown →

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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