Lin Wang

10.3k total citations · 5 hit papers
225 papers, 7.8k citations indexed

About

Lin Wang is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Lin Wang has authored 225 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 53 papers in Management Science and Operations Research and 43 papers in Artificial Intelligence. Recurrent topics in Lin Wang's work include Energy Load and Power Forecasting (34 papers), Supply Chain and Inventory Management (31 papers) and Stock Market Forecasting Methods (21 papers). Lin Wang is often cited by papers focused on Energy Load and Power Forecasting (34 papers), Supply Chain and Inventory Management (31 papers) and Stock Market Forecasting Methods (21 papers). Lin Wang collaborates with scholars based in China, United States and United Kingdom. Lin Wang's co-authors include Xitao Fan, Bruce Thompson, Yu‐Rong Zeng, Shan Liu, Sheng-Xiang Lv, Lu Peng, Yi Zeng, Huanling Hu, Tao Chen and Binrong Wu and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.

In The Last Decade

Lin Wang

205 papers receiving 7.4k citations

Hit Papers

Effects of sample size, estimation methods, and model spe... 1999 2026 2008 2017 1999 2017 2014 2018 2022 400 800 1.2k

Peers

Lin Wang
Comparison fields: 5 of 206
  • Electrical and Electronic Engineering 2.0k
  • Artificial Intelligence 1.9k
  • Management Science and Operations Research 1.4k
  • Management Information Systems 853
  • Sociology and Political Science 615
Replace Victor Chang with:
Victor Chang United Kingdom
A. A. Zaidan Malaysia
B. B. Zaidan Malaysia
Ibrar Yaqoob United Arab Emirates
Abdullah Gani Malaysia
Samee U. Khan United States
Shanlin Yang China
Mohamed Abdel‐Basset Egypt
Mohamed Hashem Saudi Arabia
Jennifer Shang United States
Victor Chang United Kingdom View profile →
Citations per field, relative to Lin Wang
Lin Wang · 1×
Citations per year, relative to Lin Wang
Lin Wang · 1×

Countries citing papers authored by Lin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Wang. A scholar is included among the top collaborators of Lin Wang 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 Lin Wang. Lin Wang 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
# Work Indexed citations
1 0
2 11
3 4
4 1
5 1
6 1
7 5
8 5
9 24
10 10
11 28
12 90
13 48
14 1
15 1
16 5
17 4
18 10
19 1
20
TECHNOLOGICAL INPUTS AND GROWTH IN CHINA'S HIGH-TECH INDUSTRIES
3

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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