Dingding Liu

1.2k citations
51 papers · 998 · h-index 17

Impact in

Papers in

Dingding Liu

42 papers receiving 986 citations

Peers

Dingding Liu
Comparison fields: 5 of 125
  • Sensory Systems 232
  • Health, Toxicology and Mutagenesis 134
  • Physiology 39
  • Neurology 66
  • Cognitive Neuroscience 130
Replace Jeong‐Han Lee with:
Jeong‐Han Lee South Korea
Xiaolong Fu China
Man Wang China
Ning Cong China
Machiko Iida Japan
Shuna Li China
Maohua Wang China
Xiaodong Liu China
Yifei Yin China
Patricia Wu United States
Dingding Liu relative to Jeong‐Han Lee South Korea Jeong‐Han Lee's profile →
Citations per field
00.5×2×3×4×4.8×
Jeong‐Han Lee · 1×
Citations per year

Countries citing papers authored by Dingding Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dingding Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dingding Liu, 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 Dingding Liu Line = papers co-authored together Dingding Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017218
2 2015117
3 200693
4 202068
5 201868
6 201445
7 201942
8 201539
9 201625
10 201824
11 202322
12 202319
13 201119
14 201019
15 202217
16 201517
17 200616
18 201615
19 201615
20 201013

About Dingding Liu

Dingding Liu is a scholar working on Molecular Biology, Sensory Systems, Genetics, Electrical and Electronic Engineering and Automotive Engineering, having authored 51 papers that have together received 998 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (6 papers), Advanced Battery Technologies Research (5 papers), Catalytic Processes in Materials Science (4 papers), Fault Detection and Control Systems (4 papers), Cancer-related molecular mechanisms research (4 papers), Medical Image Segmentation Techniques (3 papers), Advanced Memory and Neural Computing (3 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Sensory Systems (232 citations), Health, Toxicology and Mutagenesis (134 citations), Physiology (39 citations), Neurology (66 citations) and Cognitive Neuroscience (130 citations). Dingding Liu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Xiaolong Tang, Fengyu Gao, Bin Zhao, Linda Bushnell, Xia Gao, Renjie Chai, Han Zhou, Ling Lü, Yongze Liu and Qian Li. Their work appears in journals such as Chemical Engineering Journal, Cell Death and Disease, BMC Plant Biology, Oncotarget and Advanced Science.

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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