Jie Song

1.7k total citations
56 papers, 1.3k citations indexed

About

Jie Song is a scholar working on Cognitive Neuroscience, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jie Song has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 10 papers in Molecular Biology and 7 papers in Artificial Intelligence. Recurrent topics in Jie Song's work include Functional Brain Connectivity Studies (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Machine Learning in Bioinformatics (8 papers). Jie Song is often cited by papers focused on Functional Brain Connectivity Studies (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Machine Learning in Bioinformatics (8 papers). Jie Song collaborates with scholars based in China, United States and Canada. Jie Song's co-authors include Vivek Prabhakaran, Veena A. Nair, M. Elizabeth Meyerand, Rasmus M. Birn, Timothy B. Meier, Svyatoslav Vergun, Justin A. Sattin, Brittany M. Young, Bharat B. Biswal and Kristin Caldera and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Jie Song

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jie Song China	19	794	306	162	151	131	56	1.3k
Jiaqing Yan China	22	423 0.5×	208 0.7×	276 1.7×	369 2.4×	211 1.6×	78	1.4k
Qian Chen China	17	296 0.4×	188 0.6×	162 1.0×	39 0.3×	104 0.8×	125	1.1k
Ling Zou China	18	598 0.8×	262 0.9×	85 0.5×	63 0.4×	78 0.6×	135	1.4k
Ardalan Aarabi France	24	1.3k 1.7×	372 1.2×	57 0.4×	240 1.6×	174 1.3×	69	1.9k
Zhenhu Liang China	20	888 1.1×	227 0.7×	95 0.6×	204 1.4×	113 0.9×	76	1.4k
Yuan Yang China	22	722 0.9×	94 0.3×	209 1.3×	327 2.2×	228 1.7×	117	1.6k
Yu Song China	17	312 0.4×	109 0.4×	113 0.7×	57 0.4×	89 0.7×	112	1.1k
Frank C. Meinecke Germany	16	1.6k 2.0×	180 0.6×	54 0.3×	122 0.8×	248 1.9×	31	2.0k
Okito Yamashita Japan	18	1.2k 1.5×	384 1.3×	49 0.3×	186 1.2×	126 1.0×	63	1.6k
Seyed Kamaledin Setarehdan Iran	25	887 1.1×	466 1.5×	188 1.2×	499 3.3×	90 0.7×	138	2.1k

Countries citing papers authored by Jie Song

Since Specialization

Citations

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

Fields of papers citing papers by Jie Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Song

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

Song, Jie, et al.. (2025). Unsupervised data imputation with multiple importance sampling variational autoencoders. Scientific Reports. 15(1). 3409–3409. 4 indexed citations

Fu, Tiwei, Xinglan Fu, Yuehua Huang, et al.. (2025). Rapid Detection of Available Cr(VI) in Soil Based on pXRF Combined with Ion-Exchange Resin. Agriculture. 15(5). 545–545. 1 indexed citations

Yang, Yaling, et al.. (2018). Feasibility of terahertz spectroscopy for hybrid purity verification of rice seeds. International journal of agricultural and biological engineering. 11(5). 65–69. 2 indexed citations

Yang, Xiaodong, et al.. (2018). Rapid discrimination of Notoginseng powder adulteration of different grades using FT-MIR spectroscopy combined with chemometrics. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 205. 457–464. 37 indexed citations

Garcia‐Ramos, Camille, Jie Song, Bruce P. Hermann, & Vivek Prabhakaran. (2016). Low functional robustness in mesial temporal lobe epilepsy. Epilepsy Research. 123. 20–28. 15 indexed citations

Song, Jie, Veena A. Nair, Wolfgang Gaggl, & Vivek Prabhakaran. (2015). Disrupted Brain Functional Organization in Epilepsy Revealed by Graph Theory Analysis. Brain Connectivity. 5(5). 276–283. 38 indexed citations

Song, Jie, Veena A. Nair, Brittany M. Young, et al.. (2015). DTI measures track and predict motor function outcomes in stroke rehabilitation utilizing BCI technology. Frontiers in Human Neuroscience. 9. 195–195. 65 indexed citations

Young, Brittany M., Zack Nigogosyan, Léo M. Walton, et al.. (2015). Dose-response relationships using brain–computer interface technology impact stroke rehabilitation. Frontiers in Human Neuroscience. 9. 361–361. 33 indexed citations

Song, Jie, Rasmus M. Birn, Mélanie Boly, et al.. (2014). Age-Related Reorganizational Changes in Modularity and Functional Connectivity of Human Brain Networks. Brain Connectivity. 4(9). 662–676. 191 indexed citations

10.

He, Xuming, et al.. (2014). Zhichan decoction induces differentiation of dopaminergic neurons in Parkinson′s disease rats after neural stem cell transplantation. Neural Regeneration Research. 9(9). 931–931. 6 indexed citations

11.

Young, Brittany M., Zack Nigogosyan, Alexander Remsik, et al.. (2014). Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface device. PubMed. 7. 25–25. 60 indexed citations

12.

Young, Brittany M., Zack Nigogosyan, Veena A. Nair, et al.. (2014). Case report: post-stroke interventional BCI rehabilitation in an individual with preexisting sensorineural disability. PubMed. 7. 18–18. 29 indexed citations

13.

Vergun, Svyatoslav, Timothy B. Meier, Jie Song, et al.. (2013). Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data. Frontiers in Computational Neuroscience. 7. 38–38. 66 indexed citations

14.

Song, Jie, Timothy B. Meier, Dana Tudorascu, et al.. (2012). Age-Related Differences in Test-Retest Reliability in Resting-State Brain Functional Connectivity. PLoS ONE. 7(12). e49847–e49847. 88 indexed citations

15.

Chen, Xiaolong, Jie Song, Jian Guan, & You He. (2011). Moving target detection at sea based on fractal characters in FRFT domain. 90. 1–5. 5 indexed citations

16.

Song, Jie. (2009). Local Multifractal Characteristic of Sea Clutter in Radar Scanning Mode for Target Detection. Radar Science and Technology. 1 indexed citations

17.

Chen, Lei, Lin Lü, Kairui Feng, et al.. (2009). Multiple classifier integration for the prediction of protein structural classes. Journal of Computational Chemistry. 30(14). 2248–2254. 37 indexed citations

18.

Song, Jie, et al.. (2008). Infrared passenger flow collection system based on RBF neural net. 1277–1281. 14 indexed citations

19.

Song, Jie. (2007). Prediction of homo-oligomeric proteins based on nearest neighbour algorithm. Computers in Biology and Medicine. 37(12). 1759–1764. 8 indexed citations

20.

Song, Jie. (2006). A new hybrid algorithm of ant colony system and genetic algorithm. Journal of Computer Applications. 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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