Jiangling Song

527 citations
26 papers · 387 · h-index 12

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Blind Source Separation Techniques

Papers in

    • EEG and Brain-Computer Interfaces 8
    • Functional Brain Connectivity Studies 3
    • Proteins in Food Systems 4
    • Microencapsulation and Drying Processes 2

Jiangling Song

23 papers receiving 383 citations

Peers

Jiangling Song
Comparison fields: 5 of 79
  • Cognitive Neuroscience 191
  • Signal Processing 101
  • Food Science 73
  • Pharmaceutical Science 18
  • Cardiology and Cardiovascular Medicine 40
Replace Zeynab Mohammadi with:
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Theekshana Dissanayake Sri Lanka
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P. Bhuvaneswari India
E. Toledo Brazil
Chuong Hoang Nguyen Vietnam
Qingfeng Wu China
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Jiangling Song relative to Zeynab Mohammadi Iran Zeynab Mohammadi's profile →
Citations per field
00.5×10.4×
Zeynab Mohammadi · 1×
Citations per year

Countries citing papers authored by Jiangling Song

Since Specialization
Citations

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

Fields of papers citing papers by Jiangling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiangling Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiangling Song Line = papers co-authored together Jiangling Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201574
2 202451
3 202347
4 201742
5 201927
6 202418
7 201615
8 201915
9 202414
10 202211
11 202111
12 201911
13 20239
14 20199
15 20168
16 20216
17 20215
18 20224
19 20204
20 20242

About Jiangling Song

Jiangling Song is a scholar working on Cognitive Neuroscience, Food Science, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 26 papers that have together received 387 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Advanced Memory and Neural Computing (4 papers), Proteins in Food Systems (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Machine Learning and ELM (3 papers), Photoreceptor and optogenetics research (3 papers), Functional Brain Connectivity Studies (3 papers) and Microencapsulation and Drying Processes (2 papers). The work is most often cited by research in Cognitive Neuroscience (191 citations), Signal Processing (101 citations), Food Science (73 citations), Pharmaceutical Science (18 citations) and Cardiology and Cardiovascular Medicine (40 citations). Jiangling Song has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Wenfeng Hu, Zhenpeng Gao, Mengzhen Han, M. Brandon Westover, Shuang Yang, Hongcai Li, Xingnan Wang, Balaji Goparaju, Rui Zhang and Jian Jia. Their work appears in journals such as Biomedical Signal Processing and Control, Food Hydrocolloids, Food Bioscience, Journal of Neurophysiology and International Journal of Biological Macromolecules.

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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