Ling Luo

4.1k citations
105 papers · 1.7k indexed · h-index 22
Co-authors
Hongfei LinZhihao YangYin ZhangLei WangZhehuan ZhaoJian WangPei YangPo‐Ting Lai
Topics
Topic Modeling (40 papers)Biomedical Text Mining and Ontologies (37 papers)Natural Language Processing Techniques (16 papers)

In The Last Decade

Ling Luo

93 papers receiving 1.7k citations

Peers

Ling Luo
Comparison fields: 5 of 150
  • Artificial Intelligence 912
  • Molecular Biology 872
  • Computational Theory and Mathematics 191
  • Plant Science 99
  • Information Systems 84
Replace Robert Hoehndorf with:
Robert Hoehndorf Saudi Arabia
Chih-Hsuan Wei United States
Wenbin Liu China
Yi Xiong China
Ashish Anand India
Thuc Duy Le Australia
Antti Airola Finland
Ping Xuan China
Yanjie Wei China
Mats Jirstrand Sweden
Ling Luo relative to Robert Hoehndorf Saudi Arabia Robert Hoehndorf's profile →
Citations per field
00.5×1.5×2.3×
Robert Hoehndorf · 1×
Citations per year

Countries citing papers authored by Ling Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ling Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Luo. A scholar is included among the top collaborators of Ling 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 Ling Luo. Ling 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
#WorkIndexed citations
1 2
2 0
3 0
4 45
5 1
6 3
7 3
8 40
9 2
10 21
11 3
12 12
13 12
14 2
15 3
16 17
17 37
18 37
19
Study on Attitudes towards Deprescribing among Elderly Patients with Chronic Diseases in Several Communities of Chongqing
1
20
Geological Characteristics and Prospecting Indicators of Aozigang Zinc Deposit,Hubei Province
1

About Ling Luo

Ling Luo is a scholar working on Artificial Intelligence, Health Informatics and Molecular Biology, having authored 105 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (40 papers), Biomedical Text Mining and Ontologies (37 papers) and Natural Language Processing Techniques (16 papers). The work is most often cited by research in Artificial Intelligence (912 citations), Health Informatics (29 citations) and Molecular Biology (872 citations). Ling Luo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongfei Lin, Zhihao Yang, Yin Zhang, Lei Wang, Zhehuan Zhao, Jian Wang, Pei Yang, Po‐Ting Lai, Jian Wang and Chih-Hsuan Wei. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

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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