Haiyan Wu

704 total citations
38 papers, 469 citations indexed

About

Haiyan Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Haiyan Wu has authored 38 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Haiyan Wu's work include Advanced Vision and Imaging (11 papers), Topic Modeling (8 papers) and Sentiment Analysis and Opinion Mining (4 papers). Haiyan Wu is often cited by papers focused on Advanced Vision and Imaging (11 papers), Topic Modeling (8 papers) and Sentiment Analysis and Opinion Mining (4 papers). Haiyan Wu collaborates with scholars based in China, Germany and Denmark. Haiyan Wu's co-authors include Kolja Kühnlenz, Zhiqiang Zhang, Sandra Hirche, Chih‐Chung Chen, Shaoyun Shi, Haiyu Song, Martin Buss, Ole Ravn, Alexander Borst and Tianguang Zhang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Industrial & Engineering Chemistry Research.

In The Last Decade

Haiyan Wu

36 papers receiving 454 citations

Peers

Haiyan Wu
Liwei Wu China
Amit Bhatia United States
Oliver Williams United Kingdom
Junli Li China
Liwei Wu China
Haiyan Wu
Citations per year, relative to Haiyan Wu Haiyan Wu (= 1×) peers Liwei Wu

Countries citing papers authored by Haiyan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haiyan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyan Wu. A scholar is included among the top collaborators of Haiyan 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 Haiyan Wu. Haiyan 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
2.
Wu, Haiyan, et al.. (2023). LSOIT: Lexicon and Syntax Enhanced Opinion Induction Tree for Aspect-based Sentiment Analysis. Expert Systems with Applications. 235. 121137–121137. 17 indexed citations
3.
Zhang, Zhiqiang, et al.. (2022). Metapath and syntax-aware heterogeneous subgraph neural networks for spam review detection. Applied Soft Computing. 128. 109438–109438. 8 indexed citations
4.
Wu, Haiyan, et al.. (2022). Improving aspect-based sentiment analysis with Knowledge-aware Dependency Graph Network. Information Fusion. 92. 289–299. 48 indexed citations
5.
Toyoura, Masahiro, et al.. (2022). Textile image recoloring by polarization observation. The Visual Computer. 39(9). 4351–4370. 2 indexed citations
6.
Wu, Haiyan, et al.. (2021). Phrase dependency relational graph attention network for Aspect-based Sentiment Analysis. Knowledge-Based Systems. 236. 107736–107736. 80 indexed citations
7.
Wu, Haiyan, et al.. (2021). Key n -Gram Extractions and Analyses of Different Registers Based on Attention Network. Journal of Applied Mathematics. 2021. 1–16. 1 indexed citations
8.
Zhang, Zhiqiang, Chunqi Wu, Zhao Li, et al.. (2021). Author Name Disambiguation Using Multiple Graph Attention Networks. 1–8. 4 indexed citations
9.
Wu, Haiyan, Ying Liu, & Shaoyun Shi. (2020). Modularized Syntactic Neural Networks for Sentence Classification. 2786–2792. 5 indexed citations
11.
Wu, Haiyan, et al.. (2017). Application of visual servoing for grasping and placing operation in slaughterhouse. 7. 457–462. 7 indexed citations
12.
Wu, Haiyan, et al.. (2016). Visual servoing for object manipulation: A case study in slaughterhouse. 1–6. 3 indexed citations
13.
Ponti, Giovanni, et al.. (2015). Cognitive (Ir)reflection. 2. 1–36. 1 indexed citations
14.
Wu, Haiyan, Ke Zou, Tianguang Zhang, Alexander Borst, & Kolja Kühnlenz. (2012). Insect-inspired high-speed motion vision system for robot control. Biological Cybernetics. 106(8-9). 453–463. 8 indexed citations
15.
Li, Hailing, et al.. (2012). Ping-pong robotics with high-speed vision system. 106–111. 29 indexed citations
16.
Wu, Haiyan, et al.. (2012). Cloud-Based Networked Visual Servo Control. IEEE Transactions on Industrial Electronics. 60(2). 554–566. 72 indexed citations
17.
Chen, Chih‐Chung, Haiyan Wu, Kolja Kühnlenz, & Sandra Hirche. (2011). Switching Control for a Networked Vision-based Control System. at - Automatisierungstechnik. 59(2). 124–133. 2 indexed citations
18.
Wu, Haiyan, et al.. (2010). Dynamic manipulation: Nonprehensile ball catching. 365–370. 32 indexed citations
19.
Wu, Haiyan, Tianguang Zhang, Alexander Borst, Kolja Kühnlenz, & Martin Buss. (2009). An explorative study of visual servo control with insect-inspired Reichardt-model. 14. 345–350. 2 indexed citations
20.
Wu, Haiyan, et al.. (2008). On the performance of persistent connection in modern web servers. 2403–2408. 1 indexed citations

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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