Long Sha

406 total citations
6 papers, 219 citations indexed

About

Long Sha is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Computational Mathematics. According to data from OpenAlex, Long Sha has authored 6 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Mathematics. Recurrent topics in Long Sha's work include Face Recognition and Perception (4 papers), Visual perception and processing mechanisms (3 papers) and Neural and Behavioral Psychology Studies (3 papers). Long Sha is often cited by papers focused on Face Recognition and Perception (4 papers), Visual perception and processing mechanisms (3 papers) and Neural and Behavioral Psychology Studies (3 papers). Long Sha collaborates with scholars based in United States, Italy and Canada. Long Sha's co-authors include Andrew C. Connolly, James V. Haxby, J. Swaroop Guntupalli, Nikolaas N. Oosterhof, Yaroslav O. Halchenko, Roozbeh Kiani, Hervé Abdi, Gouki Okazawa, Braden A. Purcell and Matteo Visconti di Oleggio Castello and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Journal of Cognitive Neuroscience.

In The Last Decade

Long Sha

6 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Long Sha United States	5	200	45	39	27	23	6	219
Einat Rashal Israel	7	256 1.3×	53 1.2×	19 0.5×	30 1.1×	26 1.1×	15	271
Oscar Ferrante Italy	6	238 1.2×	41 0.9×	20 0.5×	13 0.5×	15 0.7×	9	252
Dawn Finzi United States	8	192 1.0×	37 0.8×	16 0.4×	40 1.5×	17 0.7×	10	202
Jason Webster United States	2	250 1.3×	47 1.0×	33 0.8×	35 1.3×	28 1.2×	5	263
Jianghao Liu France	9	268 1.3×	83 1.8×	45 1.2×	24 0.9×	9 0.4×	15	315
Lina Teichmann Australia	8	229 1.1×	61 1.4×	45 1.2×	35 1.3×	10 0.4×	19	283
Allison Brennan Canada	7	158 0.8×	62 1.4×	112 2.9×	23 0.9×	24 1.0×	18	248
Christian Wolf Germany	8	223 1.1×	64 1.4×	30 0.8×	23 0.9×	8 0.3×	24	258
Shui-I Shih United Kingdom	8	291 1.5×	87 1.9×	37 0.9×	48 1.8×	10 0.4×	12	319
Annelies Baeck Belgium	10	247 1.2×	46 1.0×	30 0.8×	24 0.9×	20 0.9×	13	270

Countries citing papers authored by Long Sha

Since Specialization

Citations

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

Fields of papers citing papers by Long Sha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Long Sha. A scholar is included among the top collaborators of Long Sha 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 Long Sha. Long Sha 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:

6 of 6 papers shown

1.

Okazawa, Gouki, Long Sha, & Roozbeh Kiani. (2021). Linear Integration of Sensory Evidence over Space and Time Underlies Face Categorization. Journal of Neuroscience. 41(37). 7876–7893. 11 indexed citations

2.

Okazawa, Gouki, Long Sha, Braden A. Purcell, & Roozbeh Kiani. (2018). Psychophysical reverse correlation reflects both sensory and decision-making processes. Nature Communications. 9(1). 3479–3479. 49 indexed citations

3.

Witthoft, Nathan, Long Sha, Jonathan Winawer, & Roozbeh Kiani. (2018). Sensory and decision-making processes underlying perceptual adaptation. Journal of Vision. 18(8). 10–10. 12 indexed citations

4.

Wen, Qiuting, et al.. (2017). Parcellation of Human Amygdala Subfields Using Orientation Distribution Function and Spectral K-means Clustering. PubMed. 2016. 123–132. 2 indexed citations

5.

Connolly, Andrew C., Long Sha, J. Swaroop Guntupalli, et al.. (2016). How the Human Brain Represents Perceived Dangerousness or “Predacity” of Animals. Journal of Neuroscience. 36(19). 5373–5384. 36 indexed citations

6.

Sha, Long, James V. Haxby, Hervé Abdi, et al.. (2014). The Animacy Continuum in the Human Ventral Vision Pathway. Journal of Cognitive Neuroscience. 27(4). 665–678. 109 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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