Mengjia Wu

968 total citations · 1 hit paper
28 papers, 597 citations indexed

About

Mengjia Wu is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Mengjia Wu has authored 28 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Statistical and Nonlinear Physics and 5 papers in Artificial Intelligence. Recurrent topics in Mengjia Wu's work include Complex Network Analysis Techniques (8 papers), Biomedical Text Mining and Ontologies (5 papers) and Bioinformatics and Genomic Networks (5 papers). Mengjia Wu is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Biomedical Text Mining and Ontologies (5 papers) and Bioinformatics and Genomic Networks (5 papers). Mengjia Wu collaborates with scholars based in Australia, China and United States. Mengjia Wu's co-authors include Yi Zhang, Cristian Mejía, Yuya Kajikawa, Dilek Çetindamar, Jie Lü, Guangquan Zhang, Babak Abedin, Simon Knight, Kirsty Kitto and Chao Min and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technological Forecasting and Social Change and Industrial Crops and Products.

In The Last Decade

Mengjia Wu

24 papers receiving 566 citations

Hit Papers

Exploring Topics in Bibliometric Research Through Citatio... 2021 2026 2022 2024 2021 50 100 150

Peers

Mengjia Wu
Comparison fields: 5 of 140
  • Artificial Intelligence 117
  • Safety Research 74
  • Information Systems 66
  • Management Information Systems 64
  • Computer Science Applications 61
Replace Edward McFowland with:
Edward McFowland United States
Nicholas Frick Germany
Gali Halevi United States
Alison Smith United States
Antoine Harfouche France
Roman Lukyanenko United States
Eva Thelisson Switzerland
Karen Yeung United States
Michael James Bommarito United States
Edward McFowland United States View profile →
Citations per field, relative to Mengjia Wu
Mengjia Wu · 1×
Citations per year, relative to Mengjia Wu
Mengjia Wu · 1×

Countries citing papers authored by Mengjia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mengjia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengjia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengjia Wu. A scholar is included among the top collaborators of Mengjia Wu 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 Mengjia Wu. Mengjia Wu 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
# Work Indexed citations
1 0
2 0
3 4
4 1
5 24
6 8
7 4
8 2
9 7
10
Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis breakdown →
174
11 7
12 33
13 71
14 9
15 49
16 3
17 21
18 12
19 3
20 8

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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