Ximing Li

1.2k total citations
81 papers, 716 citations indexed

About

Ximing Li is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ximing Li has authored 81 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 17 papers in Information Systems and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ximing Li's work include Topic Modeling (34 papers), Text and Document Classification Technologies (27 papers) and Advanced Text Analysis Techniques (16 papers). Ximing Li is often cited by papers focused on Topic Modeling (34 papers), Text and Document Classification Technologies (27 papers) and Advanced Text Analysis Techniques (16 papers). Ximing Li collaborates with scholars based in China, Italy and Australia. Ximing Li's co-authors include Jihong Ouyang, Changchun Li, Ang Zhang, Dantong Ouyang, Bo Fu, Jianfeng Qu, Yue Wang, Wen Hua, Yiming Wang and Xiaoyue Feng and has published in prestigious journals such as Information Sciences, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Ximing Li

73 papers receiving 698 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ximing Li China 16 572 149 123 47 45 81 716
Jipeng Qiang China 14 504 0.9× 129 0.9× 103 0.8× 50 1.1× 53 1.2× 63 730
Minbyul Jeong South Korea 9 468 0.8× 101 0.7× 96 0.8× 7 0.1× 70 1.6× 13 736
Yeyun Gong China 18 1.0k 1.8× 285 1.9× 271 2.2× 15 0.3× 98 2.2× 59 1.2k
Jiajun Chen China 21 1.2k 2.1× 111 0.7× 343 2.8× 10 0.2× 30 0.7× 126 1.4k
Xianyong Li China 12 332 0.6× 100 0.7× 64 0.5× 10 0.2× 138 3.1× 86 615
Xiangyu Song China 11 538 0.9× 142 1.0× 160 1.3× 8 0.2× 52 1.2× 28 746
Min Peng China 13 316 0.6× 191 1.3× 50 0.4× 33 0.7× 73 1.6× 68 612
Maíra Gatti de Bayser Brazil 6 666 1.2× 161 1.1× 73 0.6× 8 0.2× 43 1.0× 20 806
Xiaochi Wei China 15 403 0.7× 282 1.9× 179 1.5× 15 0.3× 33 0.7× 28 642

Countries citing papers authored by Ximing Li

Since Specialization
Citations

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

Fields of papers citing papers by Ximing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ximing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ximing Li. A scholar is included among the top collaborators of Ximing Li 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 Ximing Li. Ximing Li 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
2.
Ouyang, Jihong, et al.. (2024). Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18842–18850. 6 indexed citations
3.
Fu, Bo, et al.. (2024). Uncertainty-Aware Sparse Transformer Network for Single-Image Deraindrop. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 5 indexed citations
4.
Li, Ximing, Lan Huang, Fausto Giunchiglia, et al.. (2024). Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. ACM Transactions on Knowledge Discovery from Data. 18(9). 1–30.
5.
Li, Ximing, et al.. (2024). Why Misinformation is Created? Detecting them by Integrating Intent Features. 2304–2314. 3 indexed citations
6.
Wang, Bing, Shengsheng Wang, Changchun Li, Renchu Guan, & Ximing Li. (2024). Harmfully Manipulated Images Matter in Multimodal Misinformation Detection. 2262–2271.
7.
Li, Ximing, et al.. (2024). Unsupervised Sentence Representation Learning with Frequency-induced Adversarial tuning and Incomplete sentence filtering. Neural Networks. 175. 106315–106315. 6 indexed citations
8.
Li, Ximing, Yuanyuan Guan, Bo Fu, & Zhongxuan Luo. (2024). Anomaly-aware symmetric non-negative matrix factorization for short text clustering. Knowledge and Information Systems. 67(2). 1481–1506. 1 indexed citations
9.
Li, Ximing, et al.. (2023). S3 map: Semisupervised aspect-based sentiment analysis with masked aspect prediction. Knowledge-Based Systems. 269. 110513–110513. 13 indexed citations
10.
Li, Ximing, et al.. (2023). TC-DWA:Text Clustering with Dual Word-Level Augmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7113–7121. 2 indexed citations
11.
Li, Ximing, et al.. (2023). Finding hate speech with auxiliary emotion detection from self-training multi-label learning perspective. Information Fusion. 96. 214–223. 22 indexed citations
12.
Zhang, Chunxu, Ximing Li, Hongbin Pei, et al.. (2023). LaenNet: Learning robust GCNs by propagating labels. Neural Networks. 168. 652–664. 4 indexed citations
13.
Li, Ximing, et al.. (2023). Learning with Partial Labels from Semi-supervised Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8666–8674. 2 indexed citations
14.
Wang, Yiming, Ximing Li, & Jihong Ouyang. (2021). Layer-Assisted Neural Topic Modeling over Document Networks. 3148–3154. 8 indexed citations
15.
Ouyang, Jihong, et al.. (2019). Topic representation: Finding more representative words in topic models. Pattern Recognition Letters. 123. 53–60. 11 indexed citations
16.
Fu, Bo, Xiaoyang Zhao, Chuanming Song, Ximing Li, & Xianghai Wang. (2018). A salt and pepper noise image denoising method based on the generative classification. Multimedia Tools and Applications. 78(9). 12043–12053. 35 indexed citations
17.
Li, Ximing & Bo Yang. (2018). A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words.. International Conference on Computational Linguistics. 1908–1917. 12 indexed citations
18.
Ouyang, Jihong, et al.. (2018). Supervised topic models with weighted words: multi-label document classification. Frontiers of Information Technology & Electronic Engineering. 19(4). 513–523. 8 indexed citations
19.
Qu, Jianfeng, Dantong Ouyang, Wen Hua, Yuxin Ye, & Ximing Li. (2018). Distant supervision for neural relation extraction integrated with word attention and property features. Neural Networks. 100. 59–69. 34 indexed citations
20.
Li, Ximing, et al.. (2016). Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs. International Conference on Computational Linguistics. 151–160. 9 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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