Weidi Xu

595 total citations
15 papers, 337 citations indexed

About

Weidi Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Weidi Xu has authored 15 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Weidi Xu's work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Text and Document Classification Technologies (4 papers). Weidi Xu is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Text and Document Classification Technologies (4 papers). Weidi Xu collaborates with scholars based in China, Norway and India. Weidi Xu's co-authors include Ying Tan, Haoze Sun, Chao Deng, Taifeng Wang, Xingyi Cheng, Kunlong Chen, Qi Yuan, Wei Chu, Shaohua Jiang and Feng Wang and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Weidi Xu

14 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weidi Xu China	8	258	91	32	21	13	15	337
Jinyu Cai China	7	204 0.8×	160 1.8×	17 0.5×	26 1.2×	13 1.0×	21	315
Yifan Fu Australia	7	222 0.9×	92 1.0×	19 0.6×	33 1.6×	13 1.0×	10	338
Haoli Bai China	10	229 0.9×	163 1.8×	21 0.7×	18 0.9×	18 1.4×	26	334
Huijun Liu China	7	143 0.6×	68 0.7×	49 1.5×	58 2.8×	11 0.8×	24	251
Mingi Ji South Korea	7	189 0.7×	188 2.1×	49 1.5×	25 1.2×	10 0.8×	11	334
Hanene Azzag France	9	185 0.7×	86 0.9×	23 0.7×	58 2.8×	11 0.8×	22	260
Bassoma Diallo China	8	168 0.7×	196 2.2×	11 0.3×	28 1.3×	13 1.0×	12	300
Jiang Zhong China	8	95 0.4×	43 0.5×	15 0.5×	14 0.7×	11 0.8×	34	198
Y. Ramadevi India	9	112 0.4×	71 0.8×	27 0.8×	46 2.2×	11 0.8×	33	276

Countries citing papers authored by Weidi Xu

Since Specialization

Citations

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

Fields of papers citing papers by Weidi Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weidi Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Weidi Xu. A scholar is included among the top collaborators of Weidi Xu 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 Weidi Xu. Weidi Xu 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:

15 of 15 papers shown

1.

Qiu, Xihe, et al.. (2025). MIMAR-OSA: Enhancing obstructive sleep apnea diagnosis through multimodal data integration and missing modality reconstruction. Pattern Recognition. 169. 111917–111917.

2.

Wang, Jingwei, et al.. (2023). Learning to Discover Various Simpson's Paradoxes. 5092–5103. 1 indexed citations

3.

Xu, Jun, et al.. (2022). Extracting Trigger-sharing Events via an Event Matrix. 1189–1201. 1 indexed citations

4.

Zhang, Junhao, Weidi Xu, Jianhui Ji, et al.. (2021). Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. 58–66. 7 indexed citations

5.

Cheng, Xingyi, Weidi Xu, Kunlong Chen, et al.. (2020). SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. 871–881. 70 indexed citations

6.

Chen, Kunlong, Weidi Xu, Xingyi Cheng, et al.. (2020). Question Directed Graph Attention Network for Numerical Reasoning over Text. 6759–6768. 30 indexed citations

7.

Xu, Weidi, Xingyi Cheng, Kunlong Chen, & Taifeng Wang. (2020). Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. 1901–1904. 7 indexed citations

8.

Xu, Qin, et al.. (2020). Data-Efficient Semi-Supervised Learning by Reliable Edge Mining. 9189–9198. 12 indexed citations

9.

Xu, Weidi & Ying Tan. (2019). Semi-supervised target-oriented sentiment classification. Neurocomputing. 337. 120–128. 21 indexed citations

10.

Xu, Weidi & Ying Tan. (2019). Semisupervised Text Classification by Variational Autoencoder. IEEE Transactions on Neural Networks and Learning Systems. 31(1). 295–308. 48 indexed citations

11.

Xu, Weidi & Ying Tan. (2018). Semi-supervised Target-level Sentiment Analysis via Variational Autoencoder.. arXiv (Cornell University). 1 indexed citations

12.

Xu, Weidi, Haoze Sun, Chao Deng, & Ying Tan. (2018). TextDream: Conditional Text Generation by Searching in the Semantic Space. 3. 1–6. 2 indexed citations

13.

Luo, Haoran, Weidi Xu, & Ying Tan. (2018). A Discrete Fireworks Algorithm for Solving Large-Scale Travel Salesman Problem. 1–8. 9 indexed citations

14.

Xu, Weidi, Haoze Sun, Chao Deng, & Ying Tan. (2017). Variational Autoencoder for Semi-Supervised Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 125 indexed citations

15.

Sun, Haoze, Weidi Xu, Chao Deng, & Ying Tan. (2016). Multi-digit image synthesis using recurrent conditional variational autoencoder. 2011. 375–380. 3 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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