Sixing Wu

771 total citations
24 papers, 505 citations indexed

About

Sixing Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Sixing Wu has authored 24 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Sixing Wu's work include Sentiment Analysis and Opinion Mining (13 papers), Topic Modeling (11 papers) and Advanced Text Analysis Techniques (9 papers). Sixing Wu is often cited by papers focused on Sentiment Analysis and Opinion Mining (13 papers), Topic Modeling (11 papers) and Advanced Text Analysis Techniques (9 papers). Sixing Wu collaborates with scholars based in China, United States and Bulgaria. Sixing Wu's co-authors include Yongfeng Huang, Fangzhao Wu, Zhigang Yuan, Chuhan Wu, Junxin Liu, Yubo Chen, Yuanfan Xu, Xing Li, Xing Xie and Shike Li and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and Applied Soft Computing.

In The Last Decade

Sixing Wu

20 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sixing Wu China 12 444 71 56 26 24 24 505
Ranjan Satapathy Singapore 11 315 0.7× 56 0.8× 53 0.9× 28 1.1× 59 2.5× 25 420
Kai Gao China 8 382 0.9× 51 0.7× 71 1.3× 8 0.3× 66 2.8× 48 452
Georgios Siolas Greece 7 202 0.5× 64 0.9× 12 0.2× 25 1.0× 40 1.7× 24 285
Christos Baziotis Greece 6 375 0.8× 72 1.0× 13 0.2× 55 2.1× 37 1.5× 7 436
Gilbert Badaro Lebanon 12 572 1.3× 129 1.8× 21 0.4× 34 1.3× 28 1.2× 20 629
Kaisong Song China 11 282 0.6× 71 1.0× 16 0.3× 20 0.8× 33 1.4× 28 315
Ferran Plà Spain 11 342 0.8× 40 0.6× 12 0.2× 37 1.4× 24 1.0× 42 400
Luu Anh Tuan Singapore 12 432 1.0× 93 1.3× 22 0.4× 14 0.5× 68 2.8× 31 497
Ilia Shumailov United Kingdom 8 188 0.4× 68 1.0× 11 0.2× 53 2.0× 38 1.6× 19 396
Kristína Machová Slovakia 8 193 0.4× 74 1.0× 23 0.4× 34 1.3× 20 0.8× 36 291

Countries citing papers authored by Sixing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sixing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sixing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sixing Wu. A scholar is included among the top collaborators of Sixing Wu 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 Sixing Wu. Sixing Wu 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.
Chen, Wen‐Hua, Jianbin Li, & Sixing Wu. (2025). Multi-source manifold space domain adaptation with a full-thresholding residual network for machinery fault diagnosis. Applied Soft Computing. 183. 113611–113611.
2.
Wu, Sixing, et al.. (2024). A machine reading comprehension framework for recognizing emotion cause in conversations. Knowledge-Based Systems. 289. 111532–111532.
3.
Li, Jianbin, et al.. (2024). Multi‐Task Residential Short‐Term Load Prediction Based on Contrastive Learning. IEEJ Transactions on Electrical and Electronic Engineering. 19(5). 682–689.
4.
Li, Jianbin, et al.. (2024). BD-TTS: A blockchain and DRL-based framework for trusted task scheduling in edge computing. Computer Networks. 251. 110609–110609. 4 indexed citations
5.
Li, Shike, Liang Yin, Hengyang Zhang, et al.. (2023). TD-SAS: A Trust-Aware and Decentralized Speed Advisory System for Energy-Efficient Autonomous Vehicle Platoons. IEEE Transactions on Intelligent Vehicles. 9(9). 5554–5570. 3 indexed citations
6.
Li, Shike, et al.. (2023). Eco-CSAS: A Safe and Eco-Friendly Speed Advisory System for Autonomous Vehicle Platoon Using Consortium Blockchain. IEEE Transactions on Intelligent Transportation Systems. 24(7). 7802–7812. 14 indexed citations
7.
Wu, Sixing, et al.. (2023). Fed‐SAD: A secure aggregation federated learning method for distributed short‐term load forecasting. IET Generation Transmission & Distribution. 17(22). 5090–5100. 6 indexed citations
8.
Zhang, Zijie, Yang Zhou, Lingfei Wu, et al.. (2021). Adversarial Attack against Cross-lingual Knowledge Graph Alignment. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5320–5337. 9 indexed citations
9.
Wu, Sixing, Yuanfan Xu, Fangzhao Wu, et al.. (2019). Aspect-based sentiment analysis via fusing multiple sources of textual knowledge. Knowledge-Based Systems. 183. 104868–104868. 47 indexed citations
10.
Wu, Chuhan, Fangzhao Wu, Sixing Wu, et al.. (2018). Semi-supervised dimensional sentiment analysis with variational autoencoder. Knowledge-Based Systems. 165. 30–39. 51 indexed citations
11.
Wu, Chuhan, Fangzhao Wu, Sixing Wu, et al.. (2018). THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning. 51–56. 54 indexed citations
12.
Wu, Chuhan, Fangzhao Wu, Sixing Wu, Yongfeng Huang, & Xing Xie. (2018). Tweet Emoji Prediction Using Hierarchical Model with Attention. 1337–1344. 19 indexed citations
13.
Wu, Chuhan, Fangzhao Wu, Yubo Chen, et al.. (2018). Neural Metaphor Detecting with CNN-LSTM Model. 110–114. 50 indexed citations
14.
Wu, Chuhan, Fangzhao Wu, Sixing Wu, Zhigang Yuan, & Yongfeng Huang. (2018). A hybrid unsupervised method for aspect term and opinion target extraction. Knowledge-Based Systems. 148. 66–73. 88 indexed citations
15.
Wu, Sixing, et al.. (2018). Automatic construction of target-specific sentiment lexicon. Expert Systems with Applications. 116. 285–298. 40 indexed citations
16.
Wu, Chuhan, Fangzhao Wu, Sixing Wu, Zhigang Yuan, & Yongfeng Huang. (2018). THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model. 958–962. 2 indexed citations
17.
Yuan, Zhigang, Sixing Wu, Fangzhao Wu, Junxin Liu, & Yongfeng Huang. (2018). Domain attention model for multi-domain sentiment classification. Knowledge-Based Systems. 155. 1–10. 66 indexed citations
18.
Wu, Chuhan, Fangzhao Wu, Yongfeng Huang, Sixing Wu, & Zhigang Yuan. (2017). THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM. International Joint Conference on Natural Language Processing. 47–52. 15 indexed citations
19.
Wu, Fangzhao, Jia Zhang, Zhigang Yuan, et al.. (2017). Sentence-level Sentiment Classification with Weak Supervision. 973–976. 11 indexed citations
20.
Wu, Fangzhao, Sixing Wu, Yongfeng Huang, Songfang Huang, & Yong Qin. (2016). Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge. 949–958. 11 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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