Lidan Shou

1.8k total citations
110 papers, 1.2k citations indexed

About

Lidan Shou is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lidan Shou has authored 110 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Signal Processing, 39 papers in Artificial Intelligence and 35 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lidan Shou's work include Data Management and Algorithms (41 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Database Systems and Queries (14 papers). Lidan Shou is often cited by papers focused on Data Management and Algorithms (41 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Database Systems and Queries (14 papers). Lidan Shou collaborates with scholars based in China, Singapore and Denmark. Lidan Shou's co-authors include Gang Chen, Ke Chen, Hua Lu, Ke Chen, Jue Wang, Huan Li, Zhenhua Wang, Kian‐Lee Tan, Jiajun Lu and Thomas La Porta and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Lidan Shou

102 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lidan Shou China	18	479	324	275	260	227	110	1.2k
Leong Hou U Macao	18	198 0.4×	375 1.2×	177 0.6×	213 0.8×	213 0.9×	84	823
Ke Deng Australia	18	230 0.5×	521 1.6×	153 0.6×	320 1.2×	132 0.6×	46	1.1k
Markus Miettinen Germany	16	504 1.1×	390 1.2×	326 1.2×	638 2.5×	177 0.8×	36	1.2k
Wen-Chih Peng Taiwan	21	251 0.5×	212 0.7×	206 0.7×	646 2.5×	127 0.6×	70	1.3k
Panagiotis Karras Denmark	21	1.0k 2.2×	463 1.4×	307 1.1×	539 2.1×	339 1.5×	87	1.6k
Siqiang Luo Singapore	16	435 0.9×	358 1.1×	242 0.9×	540 2.1×	265 1.2×	63	1.1k
Sibo Wang China	18	460 1.0×	376 1.2×	197 0.7×	394 1.5×	307 1.4×	100	1.2k
Bin Cao China	13	691 1.4×	169 0.5×	912 3.3×	141 0.5×	382 1.7×	36	1.5k
Justin J. Levandoski United States	22	270 0.6×	475 1.5×	836 3.0×	1.2k 4.8×	185 0.8×	49	1.8k
Enrico Nardelli Italy	15	170 0.4×	512 1.6×	174 0.6×	532 2.0×	175 0.8×	87	1.1k

Countries citing papers authored by Lidan Shou

Since Specialization

Citations

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

Fields of papers citing papers by Lidan Shou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lidan Shou

This figure shows the co-authorship network connecting the top 25 collaborators of Lidan Shou. A scholar is included among the top collaborators of Lidan Shou 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 Lidan Shou. Lidan Shou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Kexin, et al.. (2025). CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(24). 25778–25786. 1 indexed citations

Wang, Jue, et al.. (2025). CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning. IEEE Transactions on Knowledge and Data Engineering. 37(6). 3088–3102.

Zhang, Jun, et al.. (2024). Preventing the Popular Item Embedding Based Attack in Federated Recommendations. ArXiv.org. 2179–2191. 3 indexed citations

Shou, Lidan, et al.. (2024). BushStore: Efficient B+Tree Group Indexing for LSM-Tree in Non-Volatile Memory. 4127–4139. 2 indexed citations

Shou, Lidan, et al.. (2024). FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning. Data Science and Engineering. 9(2). 204–219.

Wang, Jue, Ke Chen, Lidan Shou, Sai Wu, & Gang Chen. (2021). Effective Slot Filling via Weakly-Supervised Dual-Model Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 13952–13960. 2 indexed citations

Liu, Tiantian, et al.. (2020). Indoor Top-k Keyword-aware Routing Query. VBN Forskningsportal (Aalborg Universitet). 1213–1224. 17 indexed citations

Wang, Jue, Lidan Shou, Ke Chen, & Gang Chen. (2020). Pyramid: A Layered Model for Nested Named Entity Recognition. 5918–5928. 104 indexed citations

Shou, Lidan, et al.. (2019). Semantic trajectory extraction framework for indoor space. Journal of Tsinghua University(Science and Technology). 59(3). 186–193. 3 indexed citations

10.

Wu, Sai, et al.. (2017). CSIR4G: An effective and efficient cross-scenario image retrieval model for glasses. Information Sciences. 417. 310–327. 2 indexed citations

11.

Zhu, Zhu, Lidan Shou, & Ke Chen. (2016). Get into the spirit of a location by mining user-generated travelogues. Neurocomputing. 204. 61–69. 11 indexed citations

12.

Li, Huan, Hua Lu, Xin Chen, et al.. (2016). Vita. Proceedings of the VLDB Endowment. 9(13). 1453–1456. 21 indexed citations

13.

Bao, Zhifeng, et al.. (2015). INSPIRE: A Framework for Incremental Spatial Prefix Query Relaxation. IEEE Transactions on Knowledge and Data Engineering. 27(7). 1949–1963. 7 indexed citations

14.

Peng, Pai, Hongxiang Chen, Lidan Shou, et al.. (2015). DeepCamera. 1891–1894. 4 indexed citations

15.

Zhou, Yongluan, et al.. (2014). Sequence Pattern Matching over Time-Series Data with Temporal Uncertainty. University of Southern Denmark Research Portal (University of Southern Denmark). 1 indexed citations

16.

Shou, Lidan & Sai Wu. (2013). Supporting Efficient Social Media Search in Cyber-Physical Web.. IEEE Data(base) Engineering Bulletin. 36. 83–90.

17.

Shou, Lidan, et al.. (2011). Supporting Pattern-Preserving Anonymization for Time-Series Data. IEEE Transactions on Knowledge and Data Engineering. 25(4). 877–892. 24 indexed citations

18.

Chen, Gang, Xiaoyan Li, Lidan Shou, Jinxiang Dong, & Chun Chen. (2006). HISA: a query system bridging the semantic gap for large image databases. Very Large Data Bases. 1187–1190. 3 indexed citations

19.

Shou, Lidan, Zhiyong Huang, & Kian‐Lee Tan. (2003). Supporting real-time visualization with the HDoV tree. 966–971.

20.

Shou, Lidan, et al.. (2001). Walking Through a Very Large Virtual Environment in Real-time. Very Large Data Bases. 401–410. 24 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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