Jingyun Xu

582 total citations
19 papers, 352 citations indexed

About

Jingyun Xu is a scholar working on Artificial Intelligence, General Health Professions and Control and Systems Engineering. According to data from OpenAlex, Jingyun Xu has authored 19 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 1 paper in General Health Professions and 1 paper in Control and Systems Engineering. Recurrent topics in Jingyun Xu's work include Topic Modeling (13 papers), Advanced Text Analysis Techniques (9 papers) and Natural Language Processing Techniques (9 papers). Jingyun Xu is often cited by papers focused on Topic Modeling (13 papers), Advanced Text Analysis Techniques (9 papers) and Natural Language Processing Techniques (9 papers). Jingyun Xu collaborates with scholars based in China, Hong Kong and Singapore. Jingyun Xu's co-authors include Yi Cai, Ho-fung Leung, Qing Li, Yi Cai, Changmeng Zheng, Guandong Xu, Qingbao Huang, Lei Xue, Zhenhong Chen and Min Dong and has published in prestigious journals such as IEEE Access, Sensors and Neurocomputing.

In The Last Decade

Jingyun Xu

17 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingyun Xu China 9 302 53 46 31 9 19 352
Le Sun China 8 293 1.0× 62 1.2× 36 0.8× 29 0.9× 17 1.9× 25 365
David Uthus United States 8 191 0.6× 43 0.8× 20 0.4× 31 1.0× 7 0.8× 13 251
Francesco Piccinno Italy 9 200 0.7× 39 0.7× 30 0.7× 47 1.5× 9 1.0× 16 239
Yuxian Gu China 6 259 0.9× 44 0.8× 18 0.4× 72 2.3× 14 1.6× 9 311
Niklas Muennighoff United States 6 302 1.0× 37 0.7× 16 0.3× 55 1.8× 9 1.0× 8 379
Junqi Dai China 6 497 1.6× 52 1.0× 43 0.9× 40 1.3× 15 1.7× 10 525
Xiangyang Zhou China 7 473 1.6× 56 1.1× 12 0.3× 67 2.2× 9 1.0× 9 502
Wenxiong Liao China 8 197 0.7× 28 0.5× 14 0.3× 27 0.9× 5 0.6× 16 271
Sudha Morwal India 7 206 0.7× 46 0.9× 24 0.5× 29 0.9× 17 1.9× 25 263
Dianbo Sui China 8 336 1.1× 49 0.9× 56 1.2× 40 1.3× 26 2.9× 25 383

Countries citing papers authored by Jingyun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jingyun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyun Xu

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

All Works

19 of 19 papers shown
1.
2.
Xu, Jingyun, et al.. (2024). Dual Contrastive Learning for Cross-Domain Named Entity Recognition. ACM Transactions on Information Systems. 42(6). 1–33.
3.
Cai, Yi, et al.. (2024). A Fine-Grained Network for Joint Multimodal Entity-Relation Extraction. IEEE Transactions on Knowledge and Data Engineering. 37(1). 1–14. 3 indexed citations
4.
Xu, Jingyun, et al.. (2024). A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm. 1671–1675. 7 indexed citations
5.
Xu, Jingyun, et al.. (2023). Context-Aware Dynamic Word Embeddings for Aspect Term Extraction. IEEE Transactions on Affective Computing. 15(1). 144–156. 7 indexed citations
6.
Xu, Jingyun & Yi Cai. (2023). Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition. 591–600. 6 indexed citations
7.
Xu, Jingyun, Changmeng Zheng, Yi Cai, & Tat‐Seng Chua. (2023). Improving Named Entity Recognition via Bridge-based Domain Adaptation. 3869–3882. 2 indexed citations
8.
Xu, Jingyun, et al.. (2021). Detecting Dependency-Related Sentiment Features for Aspect-Level Sentiment Classification. IEEE Transactions on Affective Computing. 14(1). 196–210. 17 indexed citations
9.
Cai, Yi, et al.. (2021). Candidate region aware nested named entity recognition. Neural Networks. 142. 340–350. 16 indexed citations
10.
Huang, Qingbao, et al.. (2021). Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 13064–13072. 8 indexed citations
11.
Dong, Min, et al.. (2020). Variable Convolution and Pooling Convolutional Neural Network for Text Sentiment Classification. IEEE Access. 8. 16174–16186. 29 indexed citations
12.
Cai, Yi, et al.. (2020). Recurrent neural network with pooling operation and attention mechanism for sentiment analysis: A multi-task learning approach. Knowledge-Based Systems. 203. 105856–105856. 45 indexed citations
13.
Cai, Yi, et al.. (2020). Combining weighted category-aware contextual information in convolutional neural networks for text classification. World Wide Web. 23(5). 2815–2834. 2 indexed citations
14.
Zheng, Changmeng, Yi Cai, Jingyun Xu, Ho-fung Leung, & Guandong Xu. (2019). A Boundary-aware Neural Model for Nested Named Entity Recognition. 357–366. 84 indexed citations
15.
Xu, Jingyun & Yi Cai. (2019). Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 10067–10068. 14 indexed citations
16.
Ren, Da, Yi Cai, Lei Xue, et al.. (2019). A multi-encoder neural conversation model. Neurocomputing. 358. 344–354. 14 indexed citations
17.
Cai, Yi, et al.. (2019). Improving aspect-based sentiment analysis via aligning aspect embedding. Neurocomputing. 383. 336–347. 36 indexed citations
18.
Xu, Jingyun, Yi Cai, Lei Xue, et al.. (2019). Incorporating context-relevant concepts into convolutional neural networks for short text classification. Neurocomputing. 386. 42–53. 61 indexed citations
19.
Cai, Yi, et al.. (2019). A Distant Supervised Relation Extraction Model with Two Denoising Strategies. 333. 1–8. 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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