Zi Lin

511 total citations
13 papers, 157 citations indexed

About

Zi Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Zi Lin has authored 13 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Automotive Engineering. Recurrent topics in Zi Lin's work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Text Readability and Simplification (2 papers). Zi Lin is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Text Readability and Simplification (2 papers). Zi Lin collaborates with scholars based in China, United States and Myanmar. Zi Lin's co-authors include Zhuohan Li, Di He, Tiantian Zhu, Lei Fu, Tieming Chen, Yan Chen, Fei Tian, Zhiqing Sun, Jeremiah Zhe Liu and Zi Yang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Information Forensics and Security and Journal of Clinical Medicine.

In The Last Decade

Zi Lin

13 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zi Lin China	7	98	48	20	15	15	13	157
Noreen Kausar Malaysia	5	58 0.6×	40 0.8×	7 0.3×	23 1.5×	14 0.9×	6	125
Yu-Siang Wang Taiwan	8	162 1.7×	137 2.9×	6 0.3×	11 0.7×	21 1.4×	10	278
B. Uma Maheswari India	7	43 0.4×	44 0.9×	19 0.9×	9 0.6×	8 0.5×	36	146
Miquel Perelló-Nieto United Kingdom	7	76 0.8×	90 1.9×	9 0.5×	9 0.6×	28 1.9×	15	180
Vijeta Sharma India	4	99 1.0×	67 1.4×	14 0.7×	6 0.4×	18 1.2×	5	238
Haoyue Shi China	8	134 1.4×	63 1.3×	5 0.3×	6 0.4×	15 1.0×	15	156
Quentin Duval France	4	57 0.6×	50 1.0×	4 0.2×	9 0.6×	11 0.7×	5	151
Hassan Douzi Morocco	10	31 0.3×	99 2.1×	34 1.7×	9 0.6×	10 0.7×	39	261
Ariel Gordon United States	2	105 1.1×	119 2.5×	9 0.5×	16 1.1×	5 0.3×	3	175

Countries citing papers authored by Zi Lin

Since Specialization

Citations

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

Fields of papers citing papers by Zi Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zi Lin

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

All Works

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13 of 13 papers shown

Liu, Dan, et al.. (2022). A Machine Learning Model to Predict Cardiovascular Events during Exercise Evaluation in Patients with Coronary Heart Disease. Journal of Clinical Medicine. 11(20). 6061–6061. 11 indexed citations

Cao, Junjie, Zi Lin, Weiwei Sun, & Xiaojun Wan. (2021). Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing. Computational Linguistics. 47(1). 43–68. 2 indexed citations

Lin, Zi, Jeremiah Zhe Liu, Zi Yang, Nan Hua, & Dan Roth. (2020). Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. 719–730. 18 indexed citations

Zhu, Tiantian, et al.. (2020). One Cycle Attack: Fool Sensor-Based Personal Gait Authentication With Clustering. IEEE Transactions on Information Forensics and Security. 16. 553–568. 31 indexed citations

Lin, Zi, et al.. (2020). Using machine learning tools to predict outcomes for emergency department intensive care unit patients. Scientific Reports. 10(1). 20919–20919. 23 indexed citations

Sun, Zhiqing, Zhuohan Li, Haoqing Wang, et al.. (2019). Fast Structured Decoding for Sequence Models. Neural Information Processing Systems. 32. 3016–3026. 21 indexed citations

Lin, Hwei-Jen, et al.. (2019). Residual Learning Based Convolutional Neural Network for Super Resolution. Journal of Image and Graphics. 7(4). 126–129. 7 indexed citations

Li, Zhuohan, Zi Lin, Di He, et al.. (2019). Hint-Based Training for Non-Autoregressive Machine Translation. 5707–5712. 29 indexed citations

Lin, Zi & Yang Liu. (2019). Implanting Rational Knowledge into Distributed Representation at Morpheme Level. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 2954–2961. 2 indexed citations

10.

Zhan, Lihua, et al.. (2019). Monitoring of Multidirectional and Cure-Induced Strain in CFRP Laminates Using FBG Sensors. Materials science forum. 953. 72–79. 4 indexed citations

11.

Lin, Zi, et al.. (2019). Experimental Study on Forming Quality of Hat-Shaped Component Based on Combined Mandrel Pressurization Method. Materials science forum. 953. 80–87. 1 indexed citations

12.

Lin, Zi & Nianwen Xue. (2019). Parsing Meaning Representations: Is Easier Always Better?. 34–43. 5 indexed citations

13.

Lin, Zi, et al.. (2018). Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data. 3793–3802. 3 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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