Yanglan Gan

61 papers receiving 643 citations

Peers

Yanglan Gan
Comparison fields: 5 of 88
  • Information Systems 211
  • Computational Mathematics 5
  • Computer Networks and Communications 136
  • Artificial Intelligence 173
  • Biophysics 29
Replace Guobing Zou with:
Guobing Zou China
Sreeram Kannan United States
Zalmiyah Zakaria Malaysia
Mark V. Culp United States
Junwei Du China
Gianvito Pio Italy
Hasan M. Jamil United States
Filippo Geraci Italy
Yanglan Gan relative to Guobing Zou China Guobing Zou's profile →
Citations per field
00.5×1.5×
Guobing Zou · 1×
Citations per year

Countries citing papers authored by Yanglan Gan

Since Specialization
Citations

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

Fields of papers citing papers by Yanglan Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanglan Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yanglan Gan Line = papers co-authored together Yanglan Gan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202254
2 201247
3 201740
4 201833
5 202032
6 202128
7 200923
8 202321
9 202120
10 201919
11 202219
12 202218
13 201416
14 202314
15 202014
16 202214
17 200813
18 200912
19 201812
20 202211

About Yanglan Gan

Yanglan Gan is a scholar working on Information Systems, Artificial Intelligence, Molecular Biology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 658 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (20 papers), Caching and Content Delivery (14 papers), Recommender Systems and Techniques (11 papers), Genomics and Chromatin Dynamics (11 papers), Single-cell and spatial transcriptomics (10 papers), Web Data Mining and Analysis (8 papers), Gene Regulatory Network Analysis (7 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Information Systems (211 citations), Computational Mathematics (5 citations), Computer Networks and Communications (136 citations), Artificial Intelligence (173 citations) and Biophysics (29 citations). Yanglan Gan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guobing Zou, Jihong Guan, Shuigeng Zhou, Bofeng Zhang, Guangwei Xu, Yixin Chen, Cairong Yan, Wenjing Guo, Qiang He and Kuan‐Ching Li. Their work appears in journals such as IEEE Transactions on Services Computing, Knowledge-Based Systems, BMC Bioinformatics, Briefings in Bioinformatics and IEEE Transactions on Network and Service Management.

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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