Xinhui Tu

438 total citations
28 papers, 171 citations indexed

About

Xinhui Tu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xinhui Tu has authored 28 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xinhui Tu's work include Topic Modeling (16 papers), Web Data Mining and Analysis (8 papers) and Information Retrieval and Search Behavior (7 papers). Xinhui Tu is often cited by papers focused on Topic Modeling (16 papers), Web Data Mining and Analysis (8 papers) and Information Retrieval and Search Behavior (7 papers). Xinhui Tu collaborates with scholars based in China, Canada and United States. Xinhui Tu's co-authors include Tingting He, Tingting He, Jimmy Xiangji Huang, Guangyou Zhou, Yin Zhou, Junmei Wang, Xiaohua Hu, Md Tahmid Rahman Laskar, Changqin Quan and Bo Meng and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Xinhui Tu

23 papers receiving 164 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xinhui Tu China 9 130 45 23 11 6 28 171
Jeong-Won Cha South Korea 10 203 1.6× 45 1.0× 16 0.7× 11 1.0× 10 1.7× 33 290
Zelong Li China 7 81 0.6× 63 1.4× 13 0.6× 9 0.8× 10 1.7× 32 138
Chun-Sung Ferng Taiwan 7 73 0.6× 24 0.5× 40 1.7× 3 0.3× 5 0.8× 12 121
Wentao Zhang China 6 120 0.9× 32 0.7× 20 0.9× 4 0.4× 9 1.5× 26 147
Zuoquan Lin China 7 80 0.6× 39 0.9× 14 0.6× 15 1.4× 16 2.7× 36 118
Chenglei Si United States 8 131 1.0× 22 0.5× 25 1.1× 2 0.2× 5 0.8× 13 159
Nishant Kumar India 4 154 1.2× 26 0.6× 17 0.7× 5 0.5× 10 1.7× 8 184
Rongzhong Lian Hong Kong 5 231 1.8× 24 0.5× 53 2.3× 4 0.4× 3 0.5× 12 247
Ales Kubicek Switzerland 1 102 0.8× 19 0.4× 25 1.1× 2 0.2× 12 2.0× 2 161
Piotr Nyczyk Switzerland 1 102 0.8× 19 0.4× 25 1.1× 2 0.2× 12 2.0× 2 161

Countries citing papers authored by Xinhui Tu

Since Specialization
Citations

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

Fields of papers citing papers by Xinhui Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhui Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhui Tu. A scholar is included among the top collaborators of Xinhui Tu 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 Xinhui Tu. Xinhui Tu 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
1.
2.
Xie, Zhiwen, et al.. (2024). One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8914–8927. 11 indexed citations
3.
Fan, Rui, et al.. (2024). Dual Causes Generation Assisted Model for Multimodal Aspect-Based Sentiment Classification. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9298–9312. 3 indexed citations
4.
Huang, Jimmy Xiangji, et al.. (2024). Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges. ACM Computing Surveys. 56(7). 1–33. 30 indexed citations
5.
Wang, Yufan, et al.. (2023). Incorporating BERT With Probability-Aware Gate for Spoken Language Understanding. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 826–834. 9 indexed citations
6.
Tang, Yingying, et al.. (2023). Effect of wire composition on microstructure and penetration crack of laser-cold metal transfer hybrid welded Cu and stainless steel joints. Materials Chemistry and Physics. 299. 127480–127480. 9 indexed citations
7.
Zhao, Weizhong, et al.. (2022). A novel dense retrieval framework for long document retrieval. Frontiers of Computer Science. 17(4). 7 indexed citations
8.
Wang, Lei, Yingying Tang, Xinhui Tu, et al.. (2022). Effect of Wire Composition on Microstructure and Penetration Crack of Laser-Cmt Hybrid Welded Cu and Stainless Steel Joints. SSRN Electronic Journal. 1 indexed citations
9.
Wang, Yufan, et al.. (2022). A Stack-Propagation Framework With Slot Filling for Multi-Domain Dialogue State Tracking. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 1240–1254. 3 indexed citations
10.
Wang, Yufan, Jiawei Huang, Tingting He, & Xinhui Tu. (2019). Dialogue intent classification with character-CNN-BGRU networks. Multimedia Tools and Applications. 79(7-8). 4553–4572. 13 indexed citations
11.
Tu, Xinhui, et al.. (2019). Parrot. 1289–1292. 1 indexed citations
12.
13.
Tu, Xinhui, et al.. (2016). Exploiting Semantic Coherence Features for Information Retrieval. 837–840. 2 indexed citations
14.
Meng, Bo, et al.. (2015). Exploiting salient semantic analysis for information retrieval. Enterprise Information Systems. 10(9). 959–969. 14 indexed citations
15.
He, Tingting, et al.. (2014). Conceptual graph based text classification. 16. 104–108. 1 indexed citations
16.
Wang, Jianwen, Xiaohua Hu, Xinhui Tu, & Tingting He. (2012). Author-conference topic-connection model for academic network search. 2179–2183. 8 indexed citations
17.
Meng, Bo, et al.. (2011). Selecting good expansion terms based on similarity kernel function. 18. 156–160. 1 indexed citations
18.
Meng, Bo, et al.. (2010). Selecting good expansion terms based on Google similarity distance. 18. V2–710. 1 indexed citations
19.
Liu, Yang, Tingting He, Xinhui Tu, & Jinguang Chen. (2010). Obtaining chinese semantic knowledge from online encyclopedia. 41. 1–7. 1 indexed citations
20.
He, Tingting, et al.. (2005). Chinese Information Retrieval Based on Related Term Group. NTCIR.

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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