Fen Lin

810 total citations
22 papers, 421 citations indexed

About

Fen Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Fen Lin has authored 22 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Management Science and Operations Research. Recurrent topics in Fen Lin's work include Topic Modeling (13 papers), Natural Language Processing Techniques (8 papers) and Advanced Graph Neural Networks (5 papers). Fen Lin is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (8 papers) and Advanced Graph Neural Networks (5 papers). Fen Lin collaborates with scholars based in China, United States and Hong Kong. Fen Lin's co-authors include Leyu Lin, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Qing He, Yuan Yao, Xu Han, Ping Luo, Bo Chen and Zhao Zhang and has published in prestigious journals such as Lecture notes in computer science, npj Computational Materials and Frontiers of Computer Science.

In The Last Decade

Fen Lin

20 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fen Lin China	13	388	83	68	51	14	22	421
Yuxian Gu China	6	259 0.7×	44 0.5×	72 1.1×	18 0.4×	14 1.0×	9	311
Shichao Pei United States	9	280 0.7×	86 1.0×	46 0.7×	106 2.1×	10 0.7×	24	329
Yunzhi Yao China	4	273 0.7×	40 0.5×	39 0.6×	25 0.5×	22 1.6×	5	315
Binyuan Hui China	9	214 0.6×	56 0.7×	90 1.3×	20 0.4×	11 0.8×	22	271
Julie Tibshirani United States	6	524 1.4×	84 1.0×	31 0.5×	73 1.4×	49 3.5×	10	554
Xisen Jin United States	5	400 1.0×	48 0.6×	89 1.3×	50 1.0×	12 0.9×	7	427
Muyun Yang China	11	362 0.9×	77 0.9×	77 1.1×	12 0.2×	17 1.2×	72	422
Sheng Zhou China	9	141 0.4×	63 0.8×	46 0.7×	23 0.5×	7 0.5×	24	195
Jiawei Sheng China	9	282 0.7×	95 1.1×	51 0.8×	67 1.3×	5 0.4×	29	318

Countries citing papers authored by Fen Lin

Since Specialization

Citations

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

Fields of papers citing papers by Fen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fen Lin

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

Yang, Xuyu, Fiona Fui‐Hoon Nah, & Fen Lin. (2023). A Review on the Effects of Chanting and Solfeggio Frequencies on Well-Being. Lecture notes in computer science. 628–639.

Xiao, Chaojun, Yuan Yao, Ruobing Xie, et al.. (2021). Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. Frontiers in Big Data. 4. 602071–602071. 23 indexed citations

Xiao, Chaojun, Yuan Yao, Ruobing Xie, et al.. (2020). Denoising Relation Extraction from Document-level Distant Supervision. 3683–3688. 21 indexed citations

Ren, Zekun, Felipe Oviedo, Siyu Tian, et al.. (2020). Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics. npj Computational Materials. 6(1). 1 indexed citations

Dong, Bowen, Yuan Yao, Ruobing Xie, et al.. (2020). Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. 1594–1605. 31 indexed citations

Xiao, Chaojun, Yuan Yao, Ruobing Xie, et al.. (2020). Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. arXiv (Cornell University). 1 indexed citations

Xi, Dongbo, et al.. (2020). Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. 3133–3139. 13 indexed citations

Gao, Tianyu, Xu Han, Ruobing Xie, et al.. (2020). Neural Snowball for Few-Shot Relation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7772–7779. 42 indexed citations

Wu, Ruidong, Yuan Yao, Xu Han, et al.. (2019). Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. 38 indexed citations

10.

Zhu, Hao, Zhiyuan Liu, Ruobing Xie, et al.. (2018). Incorporating Chinese Characters of Words for Lexical Sememe Prediction. 2439–2449. 14 indexed citations

11.

Liu, Rui, et al.. (2018). A General Cross-Domain Recommendation Framework via Bayesian Neural Network. 1001–1006. 19 indexed citations

12.

Li, Juncen, Ping Luo, Fen Lin, & Bo Chen. (2018). Conversational Model Adaptation via KL Divergence Regularization. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 2 indexed citations

13.

Xie, Ruobing, Zhiyuan Liu, Fen Lin, & Leyu Lin. (2018). Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 48 indexed citations

14.

Zhang, Zhao, Fuzhen Zhuang, Meng Qu, Fen Lin, & Qing He. (2018). Knowledge Graph Embedding with Hierarchical Relation Structure. 45 indexed citations

15.

Luo, Ping, et al.. (2018). Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 12 indexed citations

16.

He, Jia, Fuzhen Zhuang, Yanchi Liu, Qing He, & Fen Lin. (2018). Bayesian dual neural networks for recommendation. Frontiers of Computer Science. 13(6). 1255–1265. 9 indexed citations

17.

Yan, Jun, Hao Zhu, Zhiyuan Liu, et al.. (2018). Language Modeling with Sparse Product of Sememe Experts. 16 indexed citations

18.

Luo, Ping, et al.. (2017). Mechanism-Aware Neural Machine for Dialogue Response Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 51 indexed citations

19.

Yang, Kun, et al.. (2011). Exploring Heterogeneous Semantic Data for Topic-Specific Crawling and Search. International Journal of Digital Content Technology and its Applications. 5(7). 335–349.

20.

Wu, Lide, et al.. (2004). FDUQA on TREC 2004 QA Track.. Text REtrieval Conference. 4 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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