Ruqian Lu

1.6k total citations · 1 hit paper
68 papers, 939 citations indexed

About

Ruqian Lu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Ruqian Lu has authored 68 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 17 papers in Information Systems. Recurrent topics in Ruqian Lu's work include Semantic Web and Ontologies (11 papers), Machine Learning in Bioinformatics (7 papers) and Advanced Algebra and Logic (7 papers). Ruqian Lu is often cited by papers focused on Semantic Web and Ontologies (11 papers), Machine Learning in Bioinformatics (7 papers) and Advanced Algebra and Logic (7 papers). Ruqian Lu collaborates with scholars based in China, Taiwan and United States. Ruqian Lu's co-authors include Meikang Qiu, Han Qiu, Songmao Zhang, Zhi Jin, Ran Li, Lixin Zhang, Jian Li, Youqing Shen, Hui Chen and Xiao Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ruqian Lu

61 papers receiving 895 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Review on polymer composites with high thermal conductivity and low dielectric properties for electronic packaging

2021 250 citations Ruqian Lu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruqian Lu China	14	305	182	176	163	160	68	939
Yixiang Chen China	21	208 0.7×	133 0.7×	115 0.7×	141 0.9×	164 1.0×	127	1.5k
Shuang Liu China	17	408 1.3×	63 0.3×	94 0.5×	136 0.8×	260 1.6×	74	1.0k
Rohit Kothari India	21	273 0.9×	57 0.3×	151 0.9×	115 0.7×	79 0.5×	65	1.3k
Anping Lin China	15	527 1.7×	292 1.6×	132 0.8×	422 2.6×	15 0.1×	41	1.2k
Jilin Yang China	13	198 0.6×	444 2.4×	192 1.1×	120 0.7×	133 0.8×	33	907
Xuandong Li China	22	426 1.4×	286 1.6×	151 0.9×	192 1.2×	676 4.2×	181	2.5k
Taisuke Sato Japan	17	764 2.5×	297 1.6×	92 0.5×	82 0.5×	75 0.5×	95	1.1k
Qihang Lin United States	19	371 1.2×	61 0.3×	124 0.7×	68 0.4×	23 0.1×	65	969
Yong Ren China	17	314 1.0×	113 0.6×	160 0.9×	162 1.0×	155 1.0×	74	1.4k

Countries citing papers authored by Ruqian Lu

Since Specialization

Citations

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

Fields of papers citing papers by Ruqian Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruqian Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruqian Lu. A scholar is included among the top collaborators of Ruqian Lu 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 Ruqian Lu. Ruqian Lu 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

1.

Wu, Xindong, Xingquan Zhu, Elena Baralis, et al.. (2023). On Computing Paradigms - Where Will Large Language Models Be Going. 3361. 1577–1582. 1 indexed citations

2.

Jing, Xiaoyang, et al.. (2018). Protein Inter-Residue Contacts Prediction: Methods, Performances and Applications. Current Bioinformatics. 14(3). 178–189. 6 indexed citations

3.

Wu, Xindong, Huanhuan Chen, Jun Liu, et al.. (2017). Knowledge Engineering With Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project. IEEE Access. 5. 12696–12701. 11 indexed citations

4.

Lu, Ruqian, et al.. (2017). Locally Preserving Projection on Symmetric Positive Definite Matrix Lie Group. arXiv (Cornell University). 1 indexed citations

5.

Jing, Xiaoyang, Qiwen Dong, & Ruqian Lu. (2017). RRCRank: a fusion method using rank strategy for residue-residue contact prediction. BMC Bioinformatics. 18(1). 390–390. 3 indexed citations

6.

Jing, Xiaoyang, Kai Wang, Ruqian Lu, & Qiwen Dong. (2016). Sorting protein decoys by machine-learning-to-rank. Scientific Reports. 6(1). 31571–31571. 20 indexed citations

7.

Lu, Ruqian. (2015). A Historical Document, A Piece of Precious Memory Editorial.. 9. 93. 1 indexed citations

8.

Lu, Xian, et al.. (2014). Computing power of Turing machines in the framework of unsharp quantum logic. Theoretical Computer Science. 598. 2–14. 2 indexed citations

9.

Mu, Kedian, Zhi Jin, & Ruqian Lu. (2012). Measuring Software Requirements Evolution Caused by Inconsistency.. 6. 419–434. 1 indexed citations

10.

Lu, Xian, et al.. (2012). A theory of computation based on unsharp quantum logic: Finite state automata and pushdown automata. Theoretical Computer Science. 434. 53–86. 5 indexed citations

11.

Luo, Dan, et al.. (2012). The use of tail inequalities on the probable computational time of randomized search heuristics. Theoretical Computer Science. 436. 106–117. 12 indexed citations

12.

Jia, Caiyan, Ruqian Lu, & Lusheng Chen. (2011). A Frequent Pattern Mining Method for Finding Planted Motifs of Unknown Length in DNA Sequences. International Journal of Computational Intelligence Systems. 4(5). 1032–1041.

13.

Wang, Fei‐Yue, Ruqian Lu, & Daniel Zeng. (2008). Artificial Intelligence in China. IEEE Intelligent Systems. 23(6). 24–25. 6 indexed citations

14.

Lu, Ruqian & Zhi Jin. (2003). Domain Knowledge Representation: Using an Ontology Language.. Applied Informatics. 1302–1307. 1 indexed citations

15.

Lu, Ruqian, et al.. (2002). Automatic generation of computeranimation: using AI for movie animation. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 16(4). 43. 16 indexed citations

16.

Lu, Ruqian & Wenyan Zhang. (2002). Generalized L systems. Science in China Series F Information Sciences. 45(3). 220–231. 1 indexed citations

17.

Lu, Ruqian, et al.. (2002). Requirement specification in pseudo-natural language in PROMIS. 428. 96–101. 9 indexed citations

18.

Lu, Ruqian, et al.. (2000). Agent-oriented commonsense knowledge base. Science China Technological Sciences. 43(6). 641–652. 1 indexed citations

19.

Lu, Ruqian, et al.. (1992). The distributed logical reasoning language D_Tuili and its implementation on microcomputer network. Journal of Computer Science and Technology. 7(2). 123–135.

20.

Lu, Ruqian, et al.. (1989). Computer-aided grammar acquisition in the Chinese understanding system CUSAGA. International Joint Conference on Artificial Intelligence. 1550–1555. 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.

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