Mengqi Luo

1.7k total citations
20 papers, 194 citations indexed

About

Mengqi Luo is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Mengqi Luo has authored 20 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Molecular Biology and 2 papers in Health Information Management. Recurrent topics in Mengqi Luo's work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Biomedical Text Mining and Ontologies (3 papers). Mengqi Luo is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Biomedical Text Mining and Ontologies (3 papers). Mengqi Luo collaborates with scholars based in China, United States and Hong Kong. Mengqi Luo's co-authors include Tzong-Yi Lee, Wei Lu, Long Lu, Peixin Lu, Ruixue Wang, Liang Hong, Peng Wu, Song Wu, Yue Zhang and John Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and BMC Bioinformatics.

In The Last Decade

Mengqi Luo

19 papers receiving 188 citations

Peers

Mengqi Luo
Comparison fields: 5 of 92
  • Molecular Biology 51
  • Artificial Intelligence 47
  • Health Information Management 33
  • Computational Theory and Mathematics 30
  • Radiology, Nuclear Medicine and Imaging 17
Blessing Ogbuokiri South Africa
Neha Sharma India
Emilie Kaufmann France
Lewis J. Frey United States
Julian Matschinske Germany
Rebecka Weegar Sweden
Miguel García-Remesal Spain
Abdulhakim Tlimat United States
Marcos Martínez-Romero Spain
Ali Anıl Sınacı Türkiye
Blessing Ogbuokiri South Africa View profile →
Citations per field, relative to Mengqi Luo
Mengqi Luo · 1×
Citations per year, relative to Mengqi Luo
Mengqi Luo · 1×

Countries citing papers authored by Mengqi Luo

Since Specialization
Citations

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

Fields of papers citing papers by Mengqi Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengqi Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Mengqi Luo. A scholar is included among the top collaborators of Mengqi Luo 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 Mengqi Luo. Mengqi Luo 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
# Title Journal Authors Indexed citations
1 Color‐shifting Crystalline Colloidal Arrays from Polymers With Upper Critical Solution Temperature Macromolecular Rapid Communications Mengqi Luo, Yulin Zhang et al. 0
2 Impact of Multiple Inlet and Outlet Structures of Bipolar Plate Channel on the Mass Transport in ALK Electrolyzers Energies Linlin Yang, Yimin D. Zhang et al. 1
3 A comprehensive survey for automatic text summarization: Techniques, approaches and perspectives Neurocomputing Mengqi Luo, Bowen Xue et al. 4
4 Mechanistic study of the transmission pattern of the SARS‐CoV ‐2 omicron variant Proteins Structure Function and Bioinformatics Ke An, Xianzhi Yang et al. 1
5 Exploring the activation mechanism of metabotropic glutamate receptor 2 Proceedings of the National Academy of Sciences Xiaohong Zhu, Mengqi Luo et al. 2
6 Extraction of microRNA–target interaction sentences from biomedical literature by deep learning approach Briefings in Bioinformatics Mengqi Luo, Shangfu Li et al. 5
7 Application of Computational Biology and Artificial Intelligence in Drug Design International Journal of Molecular Sciences Yue Zhang, Mengqi Luo et al. 60
8 A representation and deep learning model for annotating ubiquitylation sentences stating E3 ligase - substrate interaction BMC Bioinformatics Mengqi Luo, Zhongyan Li et al. 5
9 The 100 Most-Cited Articles in the Field of Colorectal Diseases from 1955 to 2020: A Bibliometric Analysis The Turkish Journal of Gastroenterology Chunmei Zhang, Mengqi Luo et al. 1
10 Identifying main finding sentences in clinical case reports Database Mengqi Luo, Aaron Cohen et al. 7
11 The treatment modalities of masticatory muscle pain a network meta-analysis Medicine Jie Feng, Mengqi Luo et al. 14
12 Result diversification in image retrieval based on semantic distance Information Sciences Wei Lu, Mengqi Luo et al. 8
13 Big Data in Health Care: Applications and Challenges Liang Hong, Mengqi Luo et al. 14
14 A manual corpus of annotated main findings of clinical case reports Database Neil R. Smalheiser, Mengqi Luo et al. 4
15 Inducing Word Clusters from Classical Chinese Poems John Lee, Mengqi Luo 1
16 Big Data in Health Care: Applications and Challenges Liang Hong, Mengqi Luo et al. 49
17 Syntactic patterns in classical Chinese poems: A quantitative study Digital Scholarship in the Humanities John Lee, Mengqi Luo et al. 10
18 A CALL System for Learning Preposition Usage John Lee, Mengqi Luo et al. 4
19 Word clustering for parallelism in Classical Chinese poems John Lee, Mengqi Luo 2
20 Personalized Exercises for Preposition Learning CityU Scholars John Lee, Mengqi Luo 2

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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