Xia Sun

1.9k total citations
111 papers, 1.1k citations indexed

About

Xia Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xia Sun has authored 111 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 33 papers in Computer Vision and Pattern Recognition and 22 papers in Information Systems. Recurrent topics in Xia Sun's work include Text and Document Classification Technologies (27 papers), Face and Expression Recognition (19 papers) and Sentiment Analysis and Opinion Mining (15 papers). Xia Sun is often cited by papers focused on Text and Document Classification Technologies (27 papers), Face and Expression Recognition (19 papers) and Sentiment Analysis and Opinion Mining (15 papers). Xia Sun collaborates with scholars based in China, United Kingdom and United States. Xia Sun's co-authors include Ziqiang Wang, Jun Feng, Richard F. E. Sutcliffe, Dexian Zhang, Yi Gao, Xin Li, Qiang Lu, Ke Dong, Long Ma and Su‐Shing Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Microbiology and Biotechnology.

In The Last Decade

Xia Sun

95 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xia Sun China 21 562 168 167 151 141 111 1.1k
Michael Wurst Germany 8 387 0.7× 235 1.4× 59 0.4× 138 0.9× 199 1.4× 18 1.1k
Shailendra Narayan Singh India 19 370 0.7× 175 1.0× 51 0.3× 209 1.4× 150 1.1× 115 1.1k
Dewan Md. Farid Bangladesh 19 821 1.5× 303 1.8× 47 0.3× 163 1.1× 169 1.2× 99 1.6k
Celine Vens Belgium 17 831 1.5× 565 3.4× 64 0.4× 226 1.5× 270 1.9× 73 1.8k
Yuan Wu China 6 533 0.9× 43 0.3× 27 0.2× 86 0.6× 157 1.1× 18 1.1k
Pramod Kumar Singh India 18 573 1.0× 63 0.4× 14 0.1× 182 1.2× 215 1.5× 62 948
Hui-Huang Hsu Taiwan 13 356 0.6× 111 0.7× 36 0.2× 279 1.8× 115 0.8× 81 874
Muneer Ahmad Malaysia 19 302 0.5× 96 0.6× 24 0.1× 157 1.0× 256 1.8× 96 1.1k

Countries citing papers authored by Xia Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xia Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Xia Sun. A scholar is included among the top collaborators of Xia Sun 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 Xia Sun. Xia Sun 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.
Sun, Xia, et al.. (2025). Towards a Quantitative Competency Model for CS1 via Five-Channel Learning Sequences. 367–373. 1 indexed citations
2.
Sun, Xia, et al.. (2024). Context-enhanced framework for medical image report generation using multimodal contexts. Knowledge-Based Systems. 310. 112913–112913. 6 indexed citations
3.
Sun, Xia, et al.. (2024). A dual relation-encoder network for aspect sentiment triplet extraction. Neurocomputing. 597. 128064–128064. 4 indexed citations
4.
Zhang, Yuxin, et al.. (2023). Biochar Aged for Five Years Altered Carbon Fractions and Enzyme Activities of Sandy Soil. Land. 12(8). 1645–1645. 10 indexed citations
5.
Sutcliffe, Richard F. E., et al.. (2023). A deep CNN architecture with novel pooling layer applied to two Sudanese Arabic sentiment data sets. Journal of Information Science. 52(1). 285–306. 8 indexed citations
6.
Sutcliffe, Richard F. E., et al.. (2023). Arabic sentiment analysis using GCL-based architectures and a customized regularization function. Engineering Science and Technology an International Journal. 43. 101433–101433. 4 indexed citations
7.
Lu, Qiang, et al.. (2023). Coordinated-joint translation fusion framework with sentiment-interactive graph convolutional networks for multimodal sentiment analysis. Information Processing & Management. 61(1). 103538–103538. 23 indexed citations
8.
Lu, Qiang, et al.. (2023). Sentiment Analysis: Comprehensive Reviews, Recent Advances, and Open Challenges. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 15092–15112. 27 indexed citations
9.
Lu, Qiang, et al.. (2022). Sentiment interaction and multi-graph perception with graph convolutional networks for aspect-based sentiment analysis. Knowledge-Based Systems. 256. 109840–109840. 24 indexed citations
10.
Sun, Xia, et al.. (2022). Do Gender or Major Influence the Performance in Programming Learning? Teaching Mode Decision Based on Exercise Series Analysis. Computational Intelligence and Neuroscience. 2022. 1–10. 4 indexed citations
11.
Sun, Xia, et al.. (2022). Extracting drug–drug interactions from no-blinding texts using key semantic sentences and GHM loss. Journal of Biomedical Informatics. 135. 104192–104192. 15 indexed citations
12.
Sun, Xia, et al.. (2022). Neural network fusion with fine-grained adaptation learning for turnover prediction. Complex & Intelligent Systems. 9(3). 3355–3366.
13.
Sutcliffe, Richard F. E., et al.. (2021). Improving Arabic Sentiment Analysis Using CNN‐Based Architectures and Text Preprocessing. Computational Intelligence and Neuroscience. 2021(1). 5538791–5538791. 22 indexed citations
14.
Sun, Xia, et al.. (2021). Dynamic Key-Value Memory Networks With Rich Features for Knowledge Tracing. IEEE Transactions on Cybernetics. 52(8). 8239–8245. 43 indexed citations
15.
Gao, Yi, et al.. (2021). GRU-based capsule network with an improved loss for personnel performance prediction. Applied Intelligence. 51(7). 4730–4743. 9 indexed citations
16.
Chen, Jing, Jun Feng, Xia Sun, & Yang Liu. (2019). Co-Training Semi-Supervised Deep Learning for Sentiment Classification of MOOC Forum Posts. Symmetry. 12(1). 8–8. 16 indexed citations
17.
Feng, Jun, et al.. (2019). Causal Analysis of Learning Performance Based on Bayesian Network and Mutual Information. Entropy. 21(11). 1102–1102. 6 indexed citations
18.
Feng, Jun, et al.. (2019). MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine. Mathematical Problems in Engineering. 2019(1). 62 indexed citations
19.
Feng, Jun, et al.. (2019). Convolutional Recurrent Neural Networks with a Self-Attention Mechanism for Personnel Performance Prediction. Entropy. 21(12). 1227–1227. 14 indexed citations
20.
Sun, Xia, Ke Dong, Long Ma, et al.. (2019). Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss. Entropy. 21(1). 37–37. 66 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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