Mengting Wan

1.5k citations
34 papers · 596 · 1 hit paper · h-index 14

Impact in

Papers in

    • Topic Modeling 7
    • Advanced Graph Neural Networks 5
    • Natural Language Processing Techniques 3
    • Sentiment Analysis and Opinion Mining 3
    • Recommender Systems and Techniques 5

Mengting Wan

31 papers receiving 574 citations

Mengting Wan's Hit Papers

Lipid metabolic reprograming: the unsung hero in breast cancer progression and tumor microenvironment 2025 · 28 citations
280Years since publication510152025

Peers

Mengting Wan
Comparison fields: 5 of 105
  • Information Systems 246
  • Artificial Intelligence 305
  • Computational Mathematics 5
  • Management Science and Operations Research 74
  • Computer Science Applications 27
Replace Kailong Chen with:
Kailong Chen China
Matevž Kunaver Slovenia
Jinghua Piao China
Tamer Elsayed Qatar
Rehan Akbar Malaysia
Qiang Cao China
Rui Duan China
Mengting Wan relative to Kailong Chen China Kailong Chen's profile →
Citations per field
00.5×5.9×
Kailong Chen · 1×
Citations per year

Countries citing papers authored by Mengting Wan

Since Specialization
Citations

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

Fields of papers citing papers by Mengting Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mengting Wan, 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 Mengting Wan Line = papers co-authored together Mengting Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018138
2 201863
3 201649
4 202243
5 202233
6 201730
7
Lipid metabolic reprograming: the unsung hero in breast cancer progression and tumor microenvironment
Hit paper breakdown →
202528
8 201827
9 202426
10 201825
11 202423
12 202423
13 201618
14 202313
15 202113
16 20159
17 20236
18 20255
19 20255
20 20244

About Mengting Wan

Mengting Wan is a scholar working on Artificial Intelligence, Information Systems, Marketing, Experimental and Cognitive Psychology and Statistical and Nonlinear Physics, having authored 34 papers that have together received 596 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Advanced Graph Neural Networks (5 papers), Recommender Systems and Techniques (5 papers), Consumer Market Behavior and Pricing (4 papers), Natural Language Processing Techniques (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Lignin and Wood Chemistry (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Information Systems (246 citations), Artificial Intelligence (305 citations), Computational Mathematics (5 citations), Management Science and Operations Research (74 citations) and Computer Science Applications (27 citations). Mengting Wan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Julian McAuley, Longqi Yang, Jundong Li, Paul N. Bennett, Di Wang, Jing Ma, Kan Zhang, Yuan Zhang, Xuemei Liu and Rishabh Misra. Their work appears in journals such as Polymer Degradation and Stability, Current Gene Therapy, BMC Immunology, Digestive Diseases and Sciences and ACM Transactions on the Web.

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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