Lianhai Shan

1.0k citations
72 papers · 778 indexed · h-index 16
Topics
Plant-based Medicinal Research (17 papers)Bioactive Natural Diterpenoids Research (15 papers)Energy Efficient Wireless Sensor Networks (11 papers)
Partner nations
ChinaEthiopiaJapan

In The Last Decade

Lianhai Shan

65 papers receiving 744 citations

Peers

Lianhai Shan
Comparison fields: 5 of 77
  • Molecular Biology 319
  • Pharmacology 257
  • Computer Networks and Communications 220
  • Electrical and Electronic Engineering 155
  • Pharmacology 149
Replace Shio Kumar Singh with:
Shio Kumar Singh India
Donghua Jiang China
Huafeng Zhang China
Sabbir Ahmed United Kingdom
Jamal Raiyn Israel
Jiakai Yan China
Anbao Wang China
Yujie Cao China
Tianming Yang China
Lianhai Shan relative to Shio Kumar Singh India Shio Kumar Singh's profile →
Citations per field
00.5×3.6×
Shio Kumar Singh · 1×
Citations per year

Countries citing papers authored by Lianhai Shan

Since Specialization
Citations

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

Fields of papers citing papers by Lianhai Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianhai Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Lianhai Shan. A scholar is included among the top collaborators of Lianhai Shan 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 Lianhai Shan. Lianhai Shan 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 0
2 2
3 1
4 0
5 0
6 0
7 8
8 5
9 7
10 0
11 11
12 6
13 8
14 16
15 3
16 7
17
An Improved Algorithm Based on LEACH in WSN
1
18 46
19 7
20
Vehicular Heterogeneous Networks Architecture and Key Technologies
1

About Lianhai Shan

Lianhai Shan is a scholar working on Pharmacology, Analytical Chemistry and Computer Networks and Communications, having authored 72 papers that have together received 778 indexed citations. Recurring topics across this work include Plant-based Medicinal Research (17 papers), Bioactive Natural Diterpenoids Research (15 papers) and Energy Efficient Wireless Sensor Networks (11 papers). The work is most often cited by research in Pharmacology (257 citations), Computer Networks and Communications (220 citations) and Pharmacology (149 citations). Lianhai Shan has collaborated with scholars based in China, Ethiopia and Japan. Frequent co-authors include Xian‐Li Zhou, Shuai Huang, Feng Gao, Weidong Fang, Jifa Zhang, Chuanlei Zhang, Qing Zhao, Cui‐Juan Wang, Lin Chen and Yang Yang. Their work appears in journals such as Analytical Chemistry, Scientific Reports and ACS Applied Materials & Interfaces.

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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