Can Wang

7.5k total citations · 1 hit paper
228 papers, 3.7k citations indexed

About

Can Wang is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Can Wang has authored 228 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Artificial Intelligence, 64 papers in Information Systems and 40 papers in Statistical and Nonlinear Physics. Recurrent topics in Can Wang's work include Recommender Systems and Techniques (40 papers), Complex Network Analysis Techniques (38 papers) and Advanced Graph Neural Networks (27 papers). Can Wang is often cited by papers focused on Recommender Systems and Techniques (40 papers), Complex Network Analysis Techniques (38 papers) and Advanced Graph Neural Networks (27 papers). Can Wang collaborates with scholars based in China, Australia and United States. Can Wang's co-authors include Chun Chen, Jiajun Bu, Defang Chen, Martin Ester, Longbing Cao, Feng Yan, Xiaofei He, Qihao Shi, Weimin Li and Jian-Ping Mei and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Can Wang

201 papers receiving 3.7k citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genetic association of lipids and lipid-lowering drug target genes with non-alcoholic fatty liver disease

2023 66 citations Ziang Li, Bin Zhang et al. EBioMedicine profile →

Peers

Countries citing papers authored by Can Wang

Since Specialization

Citations

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

Fields of papers citing papers by Can Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Wang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Artificial Intelligence-Driven de Novo Design of Robust Enzymes to Enhance Their Performance 2025 ·ACS Synthetic Biology ·(unknown), (unknown), Ao Li, Lingyun Hu, Can Wang, (unknown), Xiaodan Song, Xing‐Yuan Liu, Hao Shi, Zhongbiao Tan	0
2	Chinese Male Nursing Undergraduates’ Experience of Learning Obstetrics and Gynecology Nursing: A Qualitative Study 2025 ·Advances in Medical Education and Practice ·Can Wang, (unknown), Melissa S. Y. Thong, (unknown)	0
3	Point-of-Interest Recommendations and Large Language Models: A Powerful Combination 2025 ·IEEE Intelligent Systems ·(unknown), Can Wang	1
4	OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories 2025 ·(unknown), (unknown), Ming Jin, (unknown), Yufei Tang, Laurent M. Chérubin, Can Wang, Alan Wee‐Chung Liew, Qinghua Lu, (unknown), Hong Zhang, Shirui Pan, Xingquan Zhu	0
5	Heterogeneous network for Hierarchical Fine-Grained Domain Fake News Detection 2025 ·Information Processing & Management ·Yue Wang, (unknown), Weimin Li, Yifan Feng, (unknown), Fangfang Liu, Can Wang, Quan-Ke Pan	2
6	Differential pathogenicity of heterologous nucleopolyhedroviruses on Spodoptera frugiperda corresponds to modulated expression of immune-response-related genes 2024 ·Pesticide Biochemistry and Physiology ·Yusheng Wang, (unknown), (unknown), Weiai Zeng, Can Wang, Yingying Zhao, Ran Deng, (unknown), Yansong Xiao, Lin Tan	0
7	Embracing LLMs for Point-of-Interest Recommendations 2024 ·IEEE Intelligent Systems ·(unknown), Can Wang	4
8	Side-Scan Sonar Image Matching Method Based on Topology Representation 2024 ·Journal of Marine Science and Engineering ·(unknown), (unknown), Can Wang, (unknown), Guang Pan, X. Ma, Feihu Zhang	1
9	A stable liver-specific urate oxidase gene knockout hyperuricemia mouse model finds activated hepatic de novo purine biosynthesis and urate nephropathy 2024 ·Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease ·Lei Pang, Ningning Liang, Changgui Li, Tony R. Merriman, (unknown), (unknown), Wenyan Sun, (unknown), (unknown), (unknown), Can Wang, Xiaoyu Cheng, Shiting Chen, Huiyong Yin, Nicola Dalbeth, Xuan Yuan	6
10	Online adversarial knowledge distillation for graph neural networks 2023 ·Expert Systems with Applications ·Can Wang, (unknown), Defang Chen, Sheng Zhou, Feng Yan, Chun Chen	9
11	Genetic association of lipids and lipid-lowering drug target genes with non-alcoholic fatty liver disease breakdown → 2023 ·EBioMedicine ·Ziang Li, Bin Zhang, Qing‐Rong Liu, (unknown), Lu Ding, Bo Guo, Erli Zhang, (unknown), Zhen Meng, (unknown), Yang Chen, Jia Peng, Jinyue Li, Can Wang, Yingbo Huang, Haiyan Xu, (unknown)	66
12	The need for a clinical case definition in test-negative design studies estimating vaccine effectiveness 2023 ·npj Vaccines ·Sheena G. Sullivan, Arseniy Khvorov, (unknown), Can Wang, Kylie E. C. Ainslie, Joshua Nealon, Bingyi Yang, Benjamin J. Cowling, Tim K. Tsang	9
13	Complementary influence maximization under comparative linear threshold model 2023 ·Expert Systems with Applications ·(unknown), Qihao Shi, (unknown), Can Wang, Mingli Song, Minghui Wu	7
14	Semantic Segmentation of Side-Scan Sonar Images with Few Samples 2022 ·Electronics ·(unknown), Can Wang, (unknown), (unknown), Feihu Zhang	13
15	Improved Bell–LaPadula Model With Break the Glass Mechanism 2021 ·IEEE Transactions on Reliability ·(unknown), Gang Liu, (unknown), Quan Wang, Yumin Tian, Can Wang	4
16	Mogroside V Protects against Hepatic Steatosis in Mice on a High‐Fat Diet and LO2 Cells Treated with Free Fatty Acids via AMPK Activation 2020 ·Evidence-based Complementary and Alternative Medicine ·Linghuan Li, (unknown), Can Wang, (unknown), Hanbing Li	27
17	A Coupled User Clustering Algorithm for Web-Based Learning Systems. 2016 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Ke Niu, Zhendong Niu, Xiangyu Zhao, Can Wang, Kai Kang, Min Ye	2
18	Ts-RBAC: A RBAC model with transformation 2016 ·Computers & Security ·Gang Liu, (unknown), (unknown), Can Wang, Jinhui Liu, Aijun Liu	8
19	Coupled attribute analysis on numerical data 2013 ·UTS ePRESS (University of Technology Sydney) ·Can Wang, (unknown), Longbing Cao	28
20	Book Recommendation Method for the Blind Based on User Behavior 2011 ·Jisuanji gongcheng ·(unknown), Hu Xia, Can Wang	2

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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