Xiaochi Wei

1.0k total citations · 1 hit paper
28 papers, 642 citations indexed

About

Xiaochi Wei is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaochi Wei has authored 28 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 12 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaochi Wei's work include Topic Modeling (22 papers), Natural Language Processing Techniques (13 papers) and Expert finding and Q&A systems (7 papers). Xiaochi Wei is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (13 papers) and Expert finding and Q&A systems (7 papers). Xiaochi Wei collaborates with scholars based in China, Singapore and United States. Xiaochi Wei's co-authors include Liqiang Nie, Da Cao, Heyan Huang, Tat‐Seng Chua, Xiangnan He, Shunxiang Wu, Shunzhi Zhu, Xian-Ling Mao, Yawen Zeng and Chong Feng and has published in prestigious journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Neural Computing and Applications.

In The Last Decade

Xiaochi Wei

28 papers receiving 625 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs

2024 73 citations Zhikai Chen, Hang Li et al. ACM SIGKDD Explorations Newsletter profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaochi Wei China	15	403	282	179	44	36	28	642
Yuhan Quan China	5	344 0.9×	342 1.2×	109 0.6×	61 1.4×	53 1.5×	7	498
Ali Elkahky United States	6	431 1.1×	471 1.7×	210 1.2×	78 1.8×	72 2.0×	10	661
Anh Duc Duong Vietnam	3	190 0.5×	205 0.7×	163 0.9×	48 1.1×	38 1.1×	6	367
Jiahui Liu China	6	234 0.6×	365 1.3×	128 0.7×	71 1.6×	71 2.0×	18	508
Wei-Sheng Chin Taiwan	5	321 0.8×	431 1.5×	266 1.5×	78 1.8×	79 2.2×	6	625
Fei Cai China	16	543 1.3×	463 1.6×	116 0.6×	106 2.4×	59 1.6×	55	738
Zhankui He United States	9	515 1.3×	549 1.9×	214 1.2×	92 2.1×	59 1.6×	23	743
Yu-Chin Juan Taiwan	6	337 0.8×	469 1.7×	296 1.7×	84 1.9×	84 2.3×	7	676
Nicolas Usunier France	12	409 1.0×	135 0.5×	206 1.2×	72 1.6×	19 0.5×	34	587

Countries citing papers authored by Xiaochi Wei

Since Specialization

Citations

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

Fields of papers citing papers by Xiaochi Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochi Wei

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

Dai, Sunhao, Xiaochi Wei, Hengyi Cai, et al.. (2025). Tool learning with large language models: a survey. Frontiers of Computer Science. 19(8). 13 indexed citations

Sun, Hao, Hengyi Cai, Xiaochi Wei, et al.. (2024). Towards Verifiable Text Generation with Evolving Memory and Self-Reflection. 8211–8227. 1 indexed citations

Chen, Zhikai, Hang Li, Wei Jin, et al.. (2024). Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. ACM SIGKDD Explorations Newsletter. 25(2). 42–61. 73 indexed citations breakdown →

Huang, Heyan, Xiaochi Wei, Ge Shi, et al.. (2023). Boosting Event Extraction with Denoised Structure-to-Text Augmentation. 11267–11281. 2 indexed citations

Wen, Liang, Xiaodong Zhang, Xin Sun, et al.. (2022). Learning to Combine Answer Boundary Detection and Answer Re‐ranking for Phrase‐Indexed Question Answering. Chinese Journal of Electronics. 31(5). 938–948. 1 indexed citations

Huang, Heyan, et al.. (2021). Document-level relation extraction with Entity-Selection Attention. Information Sciences. 568. 163–174. 21 indexed citations

Liao, Lejian, et al.. (2020). A Discriminative Convolutional Neural Network with Context-aware Attention. ACM Transactions on Intelligent Systems and Technology. 11(5). 1–21. 4 indexed citations

Zhang, Tianfu, Heyan Huang, Chong Feng, & Xiaochi Wei. (2020). Similarity-aware neural machine translation: reducing human translator efforts by leveraging high-potential sentences with translation memory. Neural Computing and Applications. 32(23). 17623–17635. 8 indexed citations

Liu, Luyang, Heyan Huang, Yang Gao, Yongfeng Zhang, & Xiaochi Wei. (2019). Neural Variational Correlated Topic Modeling. 1142–1152. 33 indexed citations

10.

Huang, Heyan, et al.. (2019). Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 7418–7425. 22 indexed citations

11.

Cao, Da, Ning Han, Hao Chen, Xiaochi Wei, & Xiangnan He. (2019). Video-based recipe retrieval. Information Sciences. 514. 302–318. 4 indexed citations

12.

Liu, Qian, et al.. (2018). Task-oriented Word Embedding for Text Classification.. International Conference on Computational Linguistics. 2023–2032. 23 indexed citations

13.

Huang, Heyan, et al.. (2018). Mapping sentences to concept transferred space for semantic textual similarity. Knowledge and Information Systems. 60(3). 1353–1376. 4 indexed citations

14.

Cao, Da, Liqiang Nie, Xiangnan He, et al.. (2017). Embedding Factorization Models for Jointly Recommending Items and User Generated Lists. National University of Singapore. 585–594. 92 indexed citations

15.

Nie, Liqiang, Xiaochi Wei, Dongxiang Zhang, et al.. (2017). Data-Driven Answer Selection in Community QA Systems. IEEE Transactions on Knowledge and Data Engineering. 29(6). 1186–1198. 48 indexed citations

16.

Wei, Xiaochi, Heyan Huang, Liqiang Nie, et al.. (2016). I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base. IEEE Transactions on Knowledge and Data Engineering. 29(2). 344–358. 14 indexed citations

17.

Xin, Xin, et al.. (2015). Cross-domain collaborative filtering with review text. International Conference on Artificial Intelligence. 1827–1833. 22 indexed citations

18.

Wei, Xiaochi, Heyan Huang, Chin-Yew Lin, et al.. (2015). Re-ranking voting-based answers by discarding user behavior biases. International Conference on Artificial Intelligence. 2380–2386. 8 indexed citations

19.

Xin, Xin, Chin-Yew Lin, Xiaochi Wei, & Heyan Huang. (2015). When Factorization Meets Heterogeneous Latent Topics: An Interpretable Cross-Site Recommendation Framework. Journal of Computer Science and Technology. 30(4). 917–932. 5 indexed citations

20.

Huang, Heyan, et al.. (2014). Tri-Rank: An Authority Ranking Framework in Heterogeneous Academic Networks by Mutual Reinforce. 493–500. 23 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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