Songnan Lin

19 total papers · 500 total citations
15 papers, 275 citations indexed

About

Songnan Lin is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Songnan Lin has authored 15 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 3 papers in Signal Processing. Recurrent topics in Songnan Lin's work include Advanced Image Processing Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Video Analysis and Summarization (3 papers). Songnan Lin is often cited by papers focused on Advanced Image Processing Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Video Analysis and Summarization (3 papers). Songnan Lin collaborates with scholars based in China, Singapore and Taiwan. Songnan Lin's co-authors include Y. W. Chen-Yang, Diganta Saikia, Y.T. Chen, Jimmy Ren, Jiawei Zhang, Faming Fang, Liang Chen, Guangyou Xu, Heung‐Yeung Shum and Lei Wang and has published in prestigious journals such as Electrochimica Acta, IEEE Access and Desalination.

In The Last Decade

Songnan Lin

13 papers receiving 268 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Songnan Lin	120	119	45	36	33	15	275
Chih‐Ting Liu	82 0.7×	114 1.0×	62 1.4×	24 0.7×	17 0.5×	27	259
In-Seok Choi	155 1.3×	157 1.3×	8 0.2×	3 0.1×	12 0.4×	10	314
Xiangyue Wang	152 1.3×	18 0.2×	29 0.6×	8 0.2×	86 2.6×	27	326
Zhenhua Xie	39 0.3×	46 0.4×	30 0.7×	11 0.3×	6 0.2×	16	181
Rong Tang	134 1.1×	25 0.2×	17 0.4×	11 0.3×	14 0.4×	22	285
Jiadi Chen	195 1.6×	16 0.1×	63 1.4×	3 0.1×	9 0.3×	13	299
Chenhui Hu	132 1.1×	51 0.4×	13 0.3×	3 0.1×	12 0.4×	28	324
Zheng Lin	190 1.6×	12 0.1×	14 0.3×	57 1.6×	50 1.5×	21	296
H.F. Chen	113 0.9×	43 0.4×	50 1.1×	3 0.1×	53 1.6×	29	310
Jiuming Liu	136 1.1×	49 0.4×	93 2.1×	7 0.2×	26 0.8×	17	276

Countries citing papers authored by Songnan Lin

Since Specialization

Citations

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

Fields of papers citing papers by Songnan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songnan Lin

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