Yuan Lin

799 total citations
49 papers, 484 citations indexed

About

Yuan Lin is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Yuan Lin has authored 49 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 25 papers in Information Systems and 8 papers in Molecular Biology. Recurrent topics in Yuan Lin's work include Topic Modeling (15 papers), Information Retrieval and Search Behavior (15 papers) and Text and Document Classification Technologies (11 papers). Yuan Lin is often cited by papers focused on Topic Modeling (15 papers), Information Retrieval and Search Behavior (15 papers) and Text and Document Classification Technologies (11 papers). Yuan Lin collaborates with scholars based in China, United States and Hong Kong. Yuan Lin's co-authors include Hongfei Lin, Bo Xu, Kan Xu, Liang Yang, Xiaokun Zhang, Kun Ding, Shengbo Liu, Haifeng Liu, Chenliang Li and Fenglong Ma and has published in prestigious journals such as Nature Communications, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yuan Lin

48 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuan Lin China	13	324	193	62	50	39	49	484
Hidetsugu Nanba Japan	14	393 1.2×	128 0.7×	37 0.6×	84 1.7×	11 0.3×	53	509
Li Dong China	8	637 2.0×	118 0.6×	74 1.2×	37 0.7×	37 0.9×	25	766
Abdallah Yousif China	8	271 0.8×	269 1.4×	35 0.6×	16 0.3×	25 0.6×	13	464
Irene Li United States	10	677 2.1×	164 0.8×	94 1.5×	69 1.4×	62 1.6×	31	968
Danilo Dessı̀ Italy	9	187 0.6×	66 0.3×	26 0.4×	29 0.6×	30 0.8×	34	285
Michele Filannino United States	11	459 1.4×	111 0.6×	42 0.7×	290 5.8×	58 1.5×	20	722
Dat Quoc Nguyen Vietnam	13	498 1.5×	92 0.5×	36 0.6×	52 1.0×	45 1.2×	32	674
Komal Kapoor India	8	76 0.2×	131 0.7×	33 0.5×	22 0.4×	65 1.7×	22	291
Xiaotian Han China	7	306 0.9×	237 1.2×	66 1.1×	23 0.5×	31 0.8×	10	414

Countries citing papers authored by Yuan Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yuan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Lin

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

All Works

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

20 of 20 papers shown

Lin, Yuan, Chengxuan Ying, Bo Xu, & Hongfei Lin. (2024). Dual cycle generative adversarial networks for web search. Applied Soft Computing. 153. 111293–111293.

You, Jiaxuan, Jun He, Yuan Lin, et al.. (2023). SP-GNN: Learning structure and position information from graphs. Neural Networks. 161. 505–514. 18 indexed citations

Zhang, Xiaokun, Bo Xu, Fenglong Ma, et al.. (2023). Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. ACM Transactions on Information Systems. 42(3). 1–28. 11 indexed citations

Lin, Yuan, Jiazheng Hao, Kaiming Qiao, et al.. (2023). Phase transition regulation and caloric effect. Frontiers in Energy. 17(4). 463–477. 1 indexed citations

Ding, Kun, et al.. (2023). Does citation polarity help evaluate the quality of academic papers?. Scientometrics. 128(7). 4065–4087. 4 indexed citations

Xu, Bo, Hongfei Lin, Liang Yang, Yuan Lin, & Kan Xu. (2022). Cognitive Knowledge-aware Social Recommendation via Group-enhanced Ranking Model. Cognitive Computation. 14(3). 1055–1067. 4 indexed citations

Zhou, Houbo, Fengxia Hu, Chang Liu, et al.. (2022). Colossal barocaloric effect achieved by exploiting the amorphous high entropy of solidified polyethylene glycol. NPG Asia Materials. 14(1). 12 indexed citations

Xu, Bo, Hongfei Lin, Yuan Lin, & Kan Xu. (2021). Two-stage supervised ranking for emotion cause extraction. Knowledge-Based Systems. 228. 107225–107225. 7 indexed citations

Lin, Yuan, et al.. (2021). Knowledge-enhanced recommendation using item embedding and path attention. Knowledge-Based Systems. 233. 107484–107484. 9 indexed citations

10.

Lin, Hongfei, Chen Shen, Yuan Lin, et al.. (2020). Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. 319–322. 6 indexed citations

11.

Xu, Bo, Hongfei Lin, Yuan Lin, & Kan Xu. (2019). Incorporating query constraints for autoencoder enhanced ranking. Neurocomputing. 356. 142–150. 3 indexed citations

12.

Lin, Yuan, Bo Xu, Hongfei Lin, Kan Xu, & Ping Zhang. (2019). FGFIREM: A feature generation framework based on information retrieval evaluation measures. Expert Systems with Applications. 133. 75–85. 1 indexed citations

13.

Xu, Bo, et al.. (2019). Integrating social annotations into topic models for personalized document retrieval. Soft Computing. 24(3). 1707–1716. 11 indexed citations

14.

Xu, Bo, Hongfei Lin, Yuan Lin, et al.. (2019). Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective. IEEE Access. 7. 15573–15583. 43 indexed citations

15.

Xu, Bo, Hongfei Lin, & Yuan Lin. (2018). Learning to Refine Expansion Terms for Biomedical Information Retrieval Using Semantic Resources. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(3). 954–966. 14 indexed citations

16.

Xu, Bo, Hongfei Lin, Yuan Lin, Liang Yang, & Kan Xu. (2018). Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations. IEEE Access. 6. 62152–62165. 7 indexed citations

17.

Liu, Bing, et al.. (2016). Combining local and global information for product feature extraction in opinion documents. Information Processing Letters. 116(10). 623–627. 22 indexed citations

18.

Xu, Bo, Hongfei Lin, Yuan Lin, et al.. (2016). Improve Biomedical Information Retrieval Using Modified Learning to Rank Methods. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(6). 1797–1809. 13 indexed citations

19.

Yang, Zhihao, et al.. (2011). Ranking support vector machine for multiple kernels output combination in protein–protein interaction extraction from biomedical literature. PROTEOMICS. 11(19). 3811–3817. 3 indexed citations

20.

Lin, Yuan, et al.. (2010). Learning to rank with groups. 1589–1592. 8 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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