Mengting Wan

76 total papers · 1.3k total citations
34 papers, 521 citations indexed

About

Mengting Wan is a scholar working on Artificial Intelligence, Information Systems and Marketing. According to data from OpenAlex, Mengting Wan has authored 34 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Marketing. Recurrent topics in Mengting Wan's work include Topic Modeling (7 papers), Recommender Systems and Techniques (5 papers) and Advanced Graph Neural Networks (5 papers). Mengting Wan is often cited by papers focused on Topic Modeling (7 papers), Recommender Systems and Techniques (5 papers) and Advanced Graph Neural Networks (5 papers). Mengting Wan collaborates with scholars based in United States, China and Taiwan. Mengting Wan's co-authors include Julian McAuley, Longqi Yang, Jundong Li, Di Wang, Jing Ma, Paul N. Bennett, Wang-Cheng Kang, Rishabh Misra, Yuan Zhang and Ruocheng Guo and has published in prestigious journals such as Environment International, Molecules and Molecular Cancer.

In The Last Decade

Mengting Wan

26 papers receiving 498 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Lipid metabolic reprograming: the unsung hero in breast cancer progression and tumor microenvironment

2025 17 citations Mengting Wan, Benjie Shan et al. Molecular Cancer profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mengting Wan	294	239	71	66	47	34	521
Matevž Kunaver	153 0.5×	297 1.2×	73 1.0×	77 1.2×	69 1.5×	17	447
Jia Liu	123 0.4×	163 0.7×	35 0.5×	48 0.7×	69 1.5×	37	483
Kailong Chen	196 0.7×	316 1.3×	36 0.5×	74 1.1×	41 0.9×	22	552
Abbasi	216 0.7×	175 0.7×	70 1.0×	10 0.2×	155 3.3×	17	597
Wang Xin-xi	166 0.6×	288 1.2×	60 0.8×	233 3.5×	22 0.5×	32	598
Ioannis Karamitsos	93 0.3×	243 1.0×	23 0.3×	48 0.7×	27 0.6×	41	501
Tim Donkers	288 1.0×	300 1.3×	70 1.0×	92 1.4×	48 1.0×	19	462
Chao Wang	269 0.9×	284 1.2×	59 0.8×	76 1.2×	17 0.4×	44	488
Luiz Pizzato	217 0.7×	300 1.3×	121 1.7×	63 1.0×	75 1.6×	22	502
Nedim Lipka	431 1.5×	176 0.7×	37 0.5×	71 1.1×	38 0.8×	44	595

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-authorship network of co-authors of Mengting Wan

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

All Works

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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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