Sixing Wu

771 citations

24 papers · 505 indexed · h-index 12

Impact in

Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
Experimental and Cognitive Psychology
- Language, Metaphor, and Cognition

Papers in ⓘ

Artificial Intelligence 19
- Sentiment Analysis and Opinion Mining 13
- Topic Modeling 11
- Advanced Text Analysis Techniques 9
- Text and Document Classification Technologies 7
- Natural Language Processing Techniques 3
Electrical and Electronic Engineering 4
- Vehicular Ad Hoc Networks (VANETs) 2

Co-authors: Yongfeng Huang (16 shared papers)Fangzhao Wu (14 shared papers)Zhigang Yuan (11 shared papers)Chuhan Wu (10 shared papers)Junxin Liu (5 shared papers)Yuanfan Xu (1 shared paper)Xing Li (1 shared paper)Yubo Chen (1 shared paper)
Journals: Knowledge-Based Systems (5 papers)Computer Networks (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Applied Soft Computing (1 paper)IEEE Transactions on Intelligent Vehicles (1 paper)
Partner nations: China United States Bulgaria

In The Last Decade

Sixing Wu

20 papers receiving 482 citations

Peers

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-authors

The 25 scholars most cited alongside Sixing Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sixing Wu Line = papers co-authored together Sixing Wu links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A hybrid unsupervised method for aspect term and opinion target extraction Knowledge-Based Systems ·Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang	2018	88
2	Domain attention model for multi-domain sentiment classification Knowledge-Based Systems ·Zhigang Yuan, Sixing Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang	2018	66
3	THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning Chuhan Wu, Fangzhao Wu, Sixing Wu, Junxin Liu, Zhigang Yuan, Yongfeng Huang	2018	54
4	Semi-supervised dimensional sentiment analysis with variational autoencoder Knowledge-Based Systems ·Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang	2018	51
5	Neural Metaphor Detecting with CNN-LSTM Model Chuhan Wu, Fangzhao Wu, Yubo Chen, Sixing Wu, Zhigang Yuan, Yongfeng Huang	2018	50
6	Aspect-based sentiment analysis via fusing multiple sources of textual knowledge Knowledge-Based Systems ·Sixing Wu, Yuanfan Xu, Fangzhao Wu, Zhigang Yuan, Yongfeng Huang, Xing Li	2019	47
7	Automatic construction of target-specific sentiment lexicon Expert Systems with Applications ·Sixing Wu, Fangzhao Wu, Yue Chang, Chuhan Wu, Yongfeng Huang	2018	40
8	Tweet Emoji Prediction Using Hierarchical Model with Attention Chuhan Wu, Fangzhao Wu, Sixing Wu, Yongfeng Huang, Xing Xie	2018	19
9	THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM International Joint Conference on Natural Language Processing ·Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Sixing Wu, Zhigang Yuan	2017	15
10	Eco-CSAS: A Safe and Eco-Friendly Speed Advisory System for Autonomous Vehicle Platoon Using Consortium Blockchain IEEE Transactions on Intelligent Transportation Systems ·Shike Li, Jianbin Li, Jiaming Pei, Sixing Wu, Shen Wang, Long Cheng	2023	14
11	Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge Fangzhao Wu, Sixing Wu, Yongfeng Huang, Songfang Huang, Yong Qin	2016	11
12	Sentence-level Sentiment Classification with Weak Supervision Fangzhao Wu, Jia Zhang, Zhigang Yuan, Sixing Wu, Yongfeng Huang, Jun Yan	2017	11
13	Adversarial Attack against Cross-lingual Knowledge Graph Alignment Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan	2021	9
14	THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang	2018	7
15	Fed‐SAD: A secure aggregation federated learning method for distributed short‐term load forecasting IET Generation Transmission & Distribution ·Hexiao Li, Sixing Wu, Ruiqi Wang, Yiguo Guo, Jianbin Li	2023	6
16	BD-TTS: A blockchain and DRL-based framework for trusted task scheduling in edge computing Computer Networks ·Jianbin Li, Hengyang Zhang, Shike Li, Long Cheng, Yiguo Guo, Sixing Wu	2024	4
17	Integrated Defense for Resilient Graph Matching Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou	2021	4
18	THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM Chuhan Wu, Fangzhao Wu, Junxin Liu, Zhigang Yuan, Sixing Wu, Yongfeng Huang	2018	4
19	TD-SAS: A Trust-Aware and Decentralized Speed Advisory System for Energy-Efficient Autonomous Vehicle Platoons IEEE Transactions on Intelligent Vehicles ·Shike Li, Jianbin Li, Liang Yin, Hengyang Zhang, Sixing Wu, Shen Wang, Long Cheng	2023	3
20	THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang	2018	2

About Sixing Wu

Sixing Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Information Systems and Experimental and Cognitive Psychology, having authored 24 papers that have together received 505 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (13 papers), Topic Modeling (11 papers), Advanced Text Analysis Techniques (9 papers), Text and Document Classification Technologies (7 papers), Natural Language Processing Techniques (3 papers), Blockchain Technology Applications and Security (3 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and Emotion and Mood Recognition (2 papers). The work is most often cited by research in Artificial Intelligence (444 citations), Experimental and Cognitive Psychology (56 citations), Human-Computer Interaction (18 citations), Information Systems (71 citations) and Signal Processing (14 citations). Sixing Wu has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Yongfeng Huang, Fangzhao Wu, Zhigang Yuan, Chuhan Wu, Junxin Liu, Yuanfan Xu, Xing Li, Yubo Chen, Xing Xie and Shen Wang. Their work appears in journals such as Knowledge-Based Systems, Computer Networks, IEEE Transactions on Intelligent Transportation Systems, Applied Soft Computing and IEEE Transactions on Intelligent Vehicles.

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.

Explore authors with similar magnitude of impact