This map shows the geographic impact of Lide 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 Lide Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lide Wu more than expected).
This network shows the impact of papers produced by Lide 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 Lide Wu. The network helps show where Lide Wu may publish in the future.
Co-authorship network of co-authors of Lide Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Lide Wu.
A scholar is included among the top collaborators of Lide 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 Lide Wu. Lide 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.
Wu, Yuanbin, Qi Zhang, Xuanjing Huang, & Lide Wu. (2011). Structural Opinion Mining for Graph-based Sentiment Representation. Empirical Methods in Natural Language Processing. 1332–1341.26 indexed citations
2.
Zhang, Qi, et al.. (2010). 2D Trie for Fast Parsing. International Conference on Computational Linguistics. 904–912.3 indexed citations
3.
Zhang, Qi, et al.. (2010). Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks. Empirical Methods in Natural Language Processing. 187–195.7 indexed citations
4.
Wu, Lide. (2010). Chinese Time Expression Recognition Based on Automatically Generated Basic-Time-Unit Rules. Zhongwen xinxi xuebao.2 indexed citations
Wu, Lide. (2008). Approach for Extracting Thematic Terms Based on Association Rules. Jisuanji gongcheng.3 indexed citations
7.
Zhang, Qi, Bingqing Wang, Lide Wu, & Xuanjing Huang. (2007). FDU at TREC 2007: opinion retrieval of Blog Track. Text REtrieval Conference.10 indexed citations
8.
Huang, Jimmy Xiangji, et al.. (2006). Mining the Relation between Sentiment Expression and Target Using Dependency of Words. Pacific Asia Conference on Language, Information, and Computation. 257–264.7 indexed citations
9.
Wu, Lide. (2006). Semantic Orientation Computing Based on HowNet. Zhongwen xinxi xuebao.65 indexed citations
10.
Wu, Lide. (2006). Authorship Identification Based on Semantic Analysis. Zhongwen xinxi xuebao.5 indexed citations
Wu, Lide, et al.. (2004). FDUQA on TREC 2004 QA Track.. Text REtrieval Conference.4 indexed citations
13.
Wu, Lide. (2004). Hownet-based conceptual feature selection method. Journal of China Institute of Communications.1 indexed citations
14.
Wu, Lide, Youguang Guo, Xipeng Qiu, et al.. (2003). Fudan University at TRECVID 2003.. TRECVID.4 indexed citations
15.
Wu, Lide, Jimmy Xiangji Huang, Junyu Niu, et al.. (2002). FDU at TREC 2002: Filtering, Q&A, Web and Video Tasks.. Text REtrieval Conference.15 indexed citations
16.
Wu, Lide, Jimmy Xiangji Huang, Junyu Niu, et al.. (2001). FDU at TREC-10: Filtering, QA, Web and Video Tasks. Text REtrieval Conference. 192–207.5 indexed citations
17.
Huang, Xuanjing, et al.. (2001). Language Independent Text Categorization.. 441–446.10 indexed citations
18.
Wu, Lide, Xuanjing Huang, Yikun Guo, Bingwei Liu, & Yuejie Zhang. (2000). FDU at TREC-9: CLIR, Filtering and QA Tasks.. Text REtrieval Conference.6 indexed citations
19.
Wu, Lide. (1996). Global exponential stability of Hopfield-type neural networks. 科学通报(英文版).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.