Caihua Wu

39 total papers · 798 total citations
25 papers, 563 citations indexed

About

Caihua Wu is a scholar working on Information Systems, Artificial Intelligence and Pharmacology. According to data from OpenAlex, Caihua Wu has authored 25 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 7 papers in Artificial Intelligence and 5 papers in Pharmacology. Recurrent topics in Caihua Wu's work include Recommender Systems and Techniques (8 papers), Pain Mechanisms and Treatments (5 papers) and Image Retrieval and Classification Techniques (5 papers). Caihua Wu is often cited by papers focused on Recommender Systems and Techniques (8 papers), Pain Mechanisms and Treatments (5 papers) and Image Retrieval and Classification Techniques (5 papers). Caihua Wu collaborates with scholars based in China and United States. Caihua Wu's co-authors include Wenyu Liu, Juntao Liu, Junwei Wang, Man Li, Xiong Yi, Xiaocui Yuan, Fang Gao, Juntao Liu, Hongping Li and Hong-Chun Xiang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Caihua Wu

22 papers receiving 549 citations

Author Peers

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

Author						Papers	Cites
Caihua Wu	228	141	97	96	76	25	563
Xiang Wang	105 0.5×	113 0.8×	43 0.4×	130 1.4×	122 1.6×	45	589
Xiatian Zhang	352 1.5×	198 1.4×	140 1.4×	24 0.3×	31 0.4×	23	641
Sandeep Kumar Panda	157 0.7×	94 0.7×	69 0.7×	29 0.3×	61 0.8×	31	573
Xiangjian Chen	134 0.6×	203 1.4×	69 0.7×	31 0.3×	145 1.9×	33	685
Campbell Wilson	85 0.4×	95 0.7×	78 0.8×	20 0.2×	59 0.8×	48	659
Jieting Wang	100 0.4×	294 2.1×	126 1.3×	33 0.3×	47 0.6×	30	657
Yeli Li	75 0.3×	53 0.4×	69 0.7×	16 0.2×	139 1.8×	74	507
Michele Bevilacqua	53 0.2×	176 1.2×	39 0.4×	52 0.5×	82 1.1×	44	617
Abdullah Y. Muaad	62 0.3×	276 2.0×	99 1.0×	27 0.3×	24 0.3×	37	696
Yuxia Yao	68 0.3×	156 1.1×	20 0.2×	41 0.4×	95 1.3×	38	607

Countries citing papers authored by Caihua Wu

Since Specialization

Citations

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

Fields of papers citing papers by Caihua Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caihua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Caihua Wu. A scholar is included among the top collaborators of Caihua 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 Caihua Wu. Caihua Wu 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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