Lingshi Wang

1.1k citations
47 papers · 920 · h-index 17

Impact in

Papers in

Lingshi Wang

46 papers receiving 894 citations

Peers

Lingshi Wang
Comparison fields: 5 of 98
  • Building and Construction 241
  • Renewable Energy, Sustainability and the Environment 250
  • Mechanical Engineering 465
  • Neurology 75
  • Water Science and Technology 46
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Lingshi Wang relative to Wujun Wang China Wujun Wang's profile →
Citations per field
00.5×2×4×6×8.3×
Wujun Wang · 1×
Citations per year

Countries citing papers authored by Lingshi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingshi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017117
2 2019109
3 201898
4 202183
5 201660
6 200833
7 202231
8 201729
9 199328
10 202128
11 201626
12 200224
13 202023
14 202022
15 199519
16 201618
17
SEFDM based spectrum compressed VLC system using RLS time-domain channel estimation and ID-FSD hybrid decoder
201618
18 202014
19 199514
20 202213

About Lingshi Wang

Lingshi Wang is a scholar working on Renewable Energy, Sustainability and the Environment, Mechanical Engineering, Building and Construction, Pharmacology and Water Science and Technology, having authored 47 papers that have together received 920 indexed citations. Recurring topics across this work include Adsorption and Cooling Systems (17 papers), Building Energy and Comfort Optimization (9 papers), Geothermal Energy Systems and Applications (7 papers), Solar-Powered Water Purification Methods (7 papers), Phase Change Materials Research (6 papers), Refrigeration and Air Conditioning Technologies (6 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (4 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Building and Construction (241 citations), Renewable Energy, Sustainability and the Environment (250 citations), Mechanical Engineering (465 citations), Neurology (75 citations) and Water Science and Technology (46 citations). Lingshi Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Fu Xiao, Ming Qu, Xiaobing Liu, Maomao Hu, Xiaoli Liu, Kashif Nawaz, Ritunesh Kumar, Toshitaka Nabeshima, Takaaki Hasegawa and Masayuki Nadai. Their work appears in journals such as Energy and Buildings, Applied Thermal Engineering, Science and Technology for the Built Environment, Antimicrobial Agents and Chemotherapy and Energy.

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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