Congying Xia

2.0k total citations · 2 hit papers
26 papers, 840 citations indexed

About

Congying Xia is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Congying Xia has authored 26 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Congying Xia's work include Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers) and Sentiment Analysis and Opinion Mining (5 papers). Congying Xia is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers) and Sentiment Analysis and Opinion Mining (5 papers). Congying Xia collaborates with scholars based in United States, China and Hong Kong. Congying Xia's co-authors include Philip S. Yu, Lichao Sun, Lifang He, Yingtong Dou, Chenwei Zhang, Hao Peng, Kai Shu, Jianxin Li, Philip L. H. Yu and Qian Li and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems and Frontiers in Endocrinology.

In The Last Decade

Congying Xia

24 papers receiving 812 citations

Hit Papers

A Survey on Text Classification: From Traditional to Deep... 2021 2026 2022 2024 2022 2021 50 100 150 200
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.

  1. A Survey on Text Classification: From Traditional to Deep Learning
    2022 218 citations Qian Li, Hao Peng et al. ACM Transactions on Intelligent Systems and Technology profile →
  2. User Preference-aware Fake News Detection
    2021 152 citations Yingtong Dou, Kai Shu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congying Xia United States 14 661 230 180 115 82 26 840
Yingtong Dou United States 12 418 0.6× 271 1.2× 201 1.1× 69 0.6× 101 1.2× 16 628
Tianchi Yang China 7 453 0.7× 194 0.8× 128 0.7× 57 0.5× 78 1.0× 8 559
Maíra Gatti de Bayser Brazil 6 666 1.0× 161 0.7× 59 0.3× 73 0.6× 43 0.5× 20 806
Chongyang Shi China 13 288 0.4× 237 1.0× 72 0.4× 55 0.5× 39 0.5× 48 468
Wanjun Zhong China 11 411 0.6× 155 0.7× 156 0.9× 65 0.6× 24 0.3× 36 543
P Deepak India 14 330 0.5× 202 0.9× 107 0.6× 58 0.5× 31 0.4× 70 613
Guoyong Cai China 10 279 0.4× 165 0.7× 105 0.6× 30 0.3× 82 1.0× 53 494
Kevin Robert Canini United States 11 221 0.3× 118 0.5× 89 0.5× 65 0.6× 59 0.7× 16 413
Yifei Zhang China 13 407 0.6× 128 0.6× 52 0.3× 91 0.8× 36 0.4× 52 533

Countries citing papers authored by Congying Xia

Since Specialization
Citations

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

Fields of papers citing papers by Congying Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congying Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Congying Xia. A scholar is included among the top collaborators of Congying Xia 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 Congying Xia. Congying Xia 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.
Liang, Tingting, Lingzhi Wang, Wenqi Fan, et al.. (2024). LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs. 8926–8939. 4 indexed citations
2.
Xia, Congying, et al.. (2024). FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability. 680–699.
3.
Wang, Ming, et al.. (2023). Association of cholecystectomy with osteoporosis risk: a prospective study using data from the UK Biobank. Frontiers in Endocrinology. 14. 1259475–1259475. 1 indexed citations
4.
Liang, Tingting, et al.. (2023). Contrastive Box Embedding for Collaborative Reasoning. 38–47. 3 indexed citations
5.
Yin, Wenpeng, et al.. (2023). Learning to Select from Multiple Options. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 12754–12762. 3 indexed citations
6.
Liang, Tingting, et al.. (2023). Transferring From Textual Entailment to Biomedical Named Entity Recognition. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(4). 2577–2586. 5 indexed citations
7.
Liang, Tingting, et al.. (2023). Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. IEEE Transactions on Knowledge and Data Engineering. 35(9). 9407–9420.
8.
Li, Qian, Hao Peng, Jianxin Li, et al.. (2022). A Survey on Text Classification: From Traditional to Deep Learning. ACM Transactions on Intelligent Systems and Technology. 13(2). 1–41. 218 indexed citations breakdown →
9.
Liang, Tingting, et al.. (2022). Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network. Knowledge-Based Systems. 251. 109185–109185. 15 indexed citations
10.
Xia, Congying, et al.. (2022). Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing. 2022 IEEE International Conference on Big Data (Big Data). 1383–1388. 7 indexed citations
11.
Zhang, Jianguo, Trung Bui, Seunghyun Yoon, et al.. (2021). Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1906–1912. 42 indexed citations
12.
Dou, Yingtong, et al.. (2021). Cross-lingual COVID-19 Fake News Detection. 859–862. 30 indexed citations
13.
Zhang, Tao, Congying Xia, Philip S. Yu, Zhiwei Liu, & Shu Zhao. (2021). PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5441–5451. 16 indexed citations
14.
Dou, Yingtong, Kai Shu, Congying Xia, Philip S. Yu, & Lichao Sun. (2021). User Preference-aware Fake News Detection. 2051–2055. 152 indexed citations breakdown →
15.
Xia, Congying, Wenpeng Yin, Yihao Feng, & Philip S. Yu. (2021). Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. 1351–1360. 28 indexed citations
16.
Sun, Lichao, Congying Xia, Wenpeng Yin, et al.. (2020). Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. 3436–3440. 49 indexed citations
17.
Xia, Congying, et al.. (2020). MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. 14 indexed citations
18.
Xia, Congying, Chenwei Zhang, Xiaohui Yan, Yi Chang, & Philip L. H. Yu. (2018). Zero-shot User Intent Detection via Capsule Neural Networks. 3090–3099. 129 indexed citations
19.
Sun, Lichao, Lifang He, Zhipeng Huang, et al.. (2018). Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. 131–138. 16 indexed citations
20.
Zhang, Jiawei, Congying Xia, Chenwei Zhang, et al.. (2017). BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. 605–614. 45 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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