Xiaofei Zhu

1.1k total citations
62 papers, 647 citations indexed

About

Xiaofei Zhu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaofei Zhu has authored 62 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 16 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaofei Zhu's work include Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (7 papers) and Recommender Systems and Techniques (6 papers). Xiaofei Zhu is often cited by papers focused on Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (7 papers) and Recommender Systems and Techniques (6 papers). Xiaofei Zhu collaborates with scholars based in China, Germany and United States. Xiaofei Zhu's co-authors include Jiafeng Guo, Stefan Dietze, Xueqi Cheng, Mihai Géorgescu, Shouming Zhong, Wanping Liu, Wolfgang Nejdl, Shangsong Liang, Jue Wang and Ling Lü and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.

In The Last Decade

Xiaofei Zhu

51 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaofei Zhu China	14	249	156	143	115	80	62	647
Chenbo Fu China	14	258 1.0×	85 0.5×	359 2.5×	39 0.3×	54 0.7×	37	725
Zhenpeng Li China	9	227 0.9×	68 0.4×	88 0.6×	220 1.9×	28 0.3×	38	549
Haicheng Tao China	11	182 0.7×	98 0.6×	105 0.7×	111 1.0×	39 0.5×	27	428
Shuyang Lin China	11	246 1.0×	278 1.8×	111 0.8×	116 1.0×	99 1.2×	28	659
Kevin Robert Canini United States	11	221 0.9×	118 0.8×	59 0.4×	65 0.6×	89 1.1×	16	413
Masahiro Hamasaki Japan	13	269 1.1×	243 1.6×	164 1.1×	154 1.3×	59 0.7×	53	625
Yanbin Hao China	15	310 1.2×	248 1.6×	46 0.3×	625 5.4×	71 0.9×	54	1.0k
Stojan Trajanovski Netherlands	16	76 0.3×	82 0.5×	221 1.5×	45 0.4×	36 0.5×	40	842
Hai Liu China	9	372 1.5×	312 2.0×	33 0.2×	214 1.9×	33 0.4×	18	717

Countries citing papers authored by Xiaofei Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaofei Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Zhu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhu, Xiaofei, et al.. (2025). A Preference-driven Conjugate Denoising Method for sequential recommendation with side information. Information Processing & Management. 62(5). 104174–104174.

Zhu, Xiaofei, Liang Li, Weidong Liu, & Xin Luo. (2024). Multi-level sequence denoising with cross-signal contrastive learning for sequential recommendation. Neural Networks. 179. 106480–106480. 6 indexed citations

Zhu, Xiaofei, et al.. (2024). MIMNet: Multi-interest Meta Network with Multi-granularity Target-guided Attention for cross-domain recommendation. Neurocomputing. 620. 129208–129208. 4 indexed citations

Yue, Caixu, et al.. (2024). Research on online deformation monitoring of thin-walled parts driven by digital twin. 3. 100023–100023. 5 indexed citations

Ren, Zhaochun, et al.. (2024). Situation-aware empathetic response generation. Information Processing & Management. 61(6). 103824–103824. 1 indexed citations

Zhu, Xiaofei, Linlin Duan, Stefan Dietze, & Ran Yu. (2024). TJMN: Target-enhanced joint meta network with contrastive learning for cross-domain recommendation. Knowledge-Based Systems. 310. 112919–112919.

Chen, Zhuomin, Li Wang, Xiaofei Zhu, & Stefan Dietze. (2023). TSNN: A Topic and Structure Aware Neural Network for Rumor Detection. Neurocomputing. 531. 114–124. 9 indexed citations

Zhu, Xiaofei, Chenghong Li, Jiafeng Guo, & Stefan Dietze. (2023). CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks. Expert Systems with Applications. 226. 120178–120178. 6 indexed citations

Roy, Arjun, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, & Stefan Dietze. (2021). Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. Journal of Intelligent Information Systems. 58(1). 1–19. 8 indexed citations

10.

Yang, Ming–Hsuan, et al.. (2021). Using DeepGCN to identify the autism spectrum disorder from multi-site resting-state data. Biomedical Signal Processing and Control. 70. 103015–103015. 72 indexed citations

11.

Li, Junyi, et al.. (2019). Application of distributed optical fiber temperature sensing system in heat network leakage monitoring. 80–80. 2 indexed citations

12.

He, Chuan, et al.. (2018). Fast proximal splitting algorithm for constrained TGV‐regularised image restoration and reconstruction. IET Image Processing. 13(4). 576–582.

13.

Long, Jianwu, et al.. (2018). Efficient Superpixel-Guided Interactive Image Segmentation Based on Graph Theory. Symmetry. 10(5). 169–169. 13 indexed citations

14.

Géorgescu, Mihai & Xiaofei Zhu. (2014). Aggregation of Crowdsourced Labels Based on Worker History. 1–11. 10 indexed citations

15.

Géorgescu, Mihai, et al.. (2014). Analysing the duration of trending topics in Twitter using wikipedia. 251–252. 2 indexed citations

16.

Géorgescu, Mihai & Xiaofei Zhu. (2013). L3S at MediaEval 2013 Crowdsourcing for Social Multimedia Task.. MediaEval. 1 indexed citations

17.

Zhu, Xiaofei. (2011). Design of the Transactions Editorial Platform Based on B/S Mode. Journal of Henan University.

18.

Zhu, Xiaofei. (2008). Design of data acquisition system for12-electrode electrical capacitance tomography. Information technology newsletter. 1 indexed citations

19.

Wen, Junhao, et al.. (2006). The Application of IOCP in the P2P Network Game. Computer Engineering and Applications Journal. 42(7). 205–207. 2 indexed citations

20.

Ma, Hongguang, et al.. (2005). Data-mining based fault detection. Journal of Electronics (China). 22(6). 605–611. 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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