Long Ding

2.3k citations
29 papers · 1.6k · h-index 20

Impact in

    • Animal Vocal Communication and Behavior
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Visual perception and processing mechanisms
    • Functional Brain Connectivity Studies

Papers in

Long Ding

28 papers receiving 1.5k citations

Peers

Long Ding
Comparison fields: 5 of 92
  • Developmental Biology 364
  • Cognitive Neuroscience 909
  • General Decision Sciences 50
  • Sensory Systems 78
  • Cellular and Molecular Neuroscience 294
Replace Katia Lehongre with:
Katia Lehongre France
Jonas Rose Germany
Donald M. Wilkie Canada
Leif Gibb United States
Maik C. Stüttgen Germany
Jeremiah Y. Cohen United States
Luc H. Arnal France
Michael A. Farries United States
Stephen F. Sands United States
Merri J. Rosen United States
Long Ding relative to Katia Lehongre France Katia Lehongre's profile →
Citations per field
00.5×3.1×
Katia Lehongre · 1×
Citations per year

Countries citing papers authored by Long Ding

Since Specialization
Citations

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

Fields of papers citing papers by Long Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Long Ding, 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 Long Ding Line = papers co-authored together Long Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010227
2 2011169
3 2013125
4 2006109
5 2002100
6 200198
7 201284
8 200580
9 200479
10 201273
11 199967
12 200363
13 200053
14 202052
15 201829
16 202424
17 200023
18 200620
19 201519
20 200219

About Long Ding

Long Ding is a scholar working on Cognitive Neuroscience, Ecology, Evolution, Behavior and Systematics, Developmental Biology, Cellular and Molecular Neuroscience and Ecology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Neural and Behavioral Psychology Studies (11 papers), Visual perception and processing mechanisms (9 papers), Animal Vocal Communication and Behavior (7 papers), Animal Behavior and Reproduction (7 papers), Marine animal studies overview (6 papers), Neurological disorders and treatments (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Developmental Biology (364 citations), Cognitive Neuroscience (909 citations), General Decision Sciences (50 citations), Sensory Systems (78 citations) and Cellular and Molecular Neuroscience (294 citations). Long Ding has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Joshua I. Gold, David J. Perkel, Okihide Hikosaka, Michael A. Farries, Minmin Luo, Zhe Lü, Helen Brontë‐Stewart, George Moore, Takahiro Doi and Corinne Alexander. Their work appears in journals such as Journal of Neuroscience, eLife, Neuron, Journal of Neurophysiology and Frontiers in Neuroanatomy.

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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