Kejing Liu

651 citations
43 papers · 526 indexed · h-index 14
Topics
Error Correcting Code Techniques (4 papers)Neuroscience and Neuropharmacology Research (4 papers)Neuroendocrine regulation and behavior (4 papers)
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Kejing Liu

43 papers receiving 519 citations

Peers

Kejing Liu
Comparison fields: 5 of 124
  • Endocrine and Autonomic Systems 96
  • Physiology 95
  • Molecular Biology 87
  • Mechanical Engineering 70
  • Social Psychology 56
Replace Dingbang Xu with:
Dingbang Xu United States
Shu Zheng China
Eiichiro Tanaka Japan
Hong Yu China
Renhao Liu China
Xiaoxing Liu China
Shufang Zhou China
Jianjun Wang China
Takeshi Aihara Japan
Kentaro Nishida Japan
Kejing Liu relative to Dingbang Xu United States Dingbang Xu's profile →
Citations per field
00.5×4.4×
Dingbang Xu · 1×
Citations per year

Countries citing papers authored by Kejing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kejing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kejing Liu. A scholar is included among the top collaborators of Kejing Liu 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 Kejing Liu. Kejing Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 25
4 22
5 21
6
A Comparison of China Main Board and Growth Enterprise Market Board - Market Microstructure Approach
1
7 5
8 40
9 35
10 12
11 1
12 3
13
Diazoxide and Cyclosporine A inhibits cultured primitive rat basal forebrain cholinergic neuron apoptosis induced by Aβ1-42.
1
14 8
15 14
16 14
17 8
18
A Datum Compressing Algorithms of Improved Vectorial Curve
1
19
Effects of BDNF and NT-3on growth and development of neurons from spinal cord of embryonic rat in vitro
1
20 2

About Kejing Liu

Kejing Liu is a scholar working on Endocrine and Autonomic Systems, Pharmacy and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 526 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (96 citations), Pharmacy (27 citations) and Developmental Neuroscience (21 citations). Kejing Liu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xiang‐Gen Xia, Dongping Xie, Chuanyong Liu, Lian-Bi Chen, Paulus S. Wang, Jingxin Li, Yajun Liu, Javier Garcia‐Frias, Xiufang Cui and Guo Jin. Their work appears in journals such as Scientific Reports, Journal of Materials Chemistry A and Journal of Neurochemistry.

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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