Runze Wu

81 papers receiving 2.3k citations

Runze Wu's Hit Papers

Omni-Frequency Channel-Selection Representations for Unsupervised Anomaly Detection 2023 · 121 citations
1210+1+2Years since publication50100150

Peers

Runze Wu
Comparison fields: 5 of 108
  • Electronic, Optical and Magnetic Materials 1.1k
  • Computer Science Applications 206
  • Information Systems and Management 150
  • Artificial Intelligence 680
  • Electrical and Electronic Engineering 965
Replace Meng Ma with:
Meng Ma China
Yang Gao China
Keunho Choi South Korea
Yafei Dai China
Eunji Kim South Korea
Jianxi Luo Singapore
Sorelle A. Friedler United States
Yang Bao China
Pedro Antunes Portugal
Burkhard Stiller Switzerland
Runze Wu relative to Meng Ma China Meng Ma's profile →
Citations per field
00.5×3.0×
Meng Ma · 1×
Citations per year

Countries citing papers authored by Runze Wu

Since Specialization
Citations

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

Fields of papers citing papers by Runze Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020267
2
Porous MgCo2O4 nanoflakes serve as electrode materials for hybrid supercapacitors with excellent performance
Hit paper breakdown →
2022198
3 2021149
4 2018126
5
Omni-Frequency Channel-Selection Representations for Unsupervised Anomaly Detection
Hit paper breakdown →
2023121
6 202296
7 202284
8 202082
9 202077
10 201968
11 202067
12 201759
13 202158
14 202157
15
Cognitive modelling for predicting examinee performance
201552
16 202048
17 202247
18 202046
19 202244
20 201838

About Runze Wu

Runze Wu is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 92 papers that have together received 2.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (19 papers), Advancements in Battery Materials (12 papers), Artificial Intelligence in Games (12 papers), Supercapacitor Materials and Fabrication (12 papers), Advanced battery technologies research (11 papers), Digital Marketing and Social Media (9 papers), Sports Analytics and Performance (6 papers) and Topic Modeling (6 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.1k citations), Computer Science Applications (206 citations), Information Systems and Management (150 citations), Artificial Intelligence (680 citations) and Electrical and Electronic Engineering (965 citations). Runze Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chunju Xu, Jiale Sun, Huiyu Chen, Xuming Du, Huiyu Chen, Xiaohong Liu, Yanfei Zhang, Enhui Bao, Enhong Chen and Yi Li. Their work appears in journals such as Nanoscale Advances, Sustainability, ACM Transactions on Information Systems, Frontiers in Psychology and ACM Transactions on Intelligent Systems and Technology.

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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