Song Pan

4.6k citations
149 papers · 3.3k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Song Pan

131 papers receiving 3.2k citations

Hit Papers

A review of data-driven approaches for prediction and classification of building energy consumption 2017 · 602 citations
6022017202620202023200400600

Peers

Song Pan
Comparison fields: 5 of 169
  • Building and Construction 1.4k
  • Environmental Engineering 762
  • Speech and Hearing 218
  • Renewable Energy, Sustainability and the Environment 483
  • Sensory Systems 107
Replace Andrea Gasparella with:
Andrea Gasparella Italy
Risto Kosonen Finland
Xilei Dai China
Seung Hyun South Korea
Xianting Li China
Ye Yao China
Angui Li China
Bjarne W. Olesen Denmark
Yufeng Zhang China
Runming Yao United Kingdom
Song Pan relative to Andrea Gasparella Italy Andrea Gasparella's profile →
Citations per field
00.5×6.7×
Andrea Gasparella · 1×
Citations per year

Countries citing papers authored by Song Pan

Since Specialization
Citations

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

Fields of papers citing papers by Song Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20240
4 202410
5 20242
6 20239
7 202310
8 20231
9 20233
10 20233
11 20236
12 20230
13 202118
14 202125
15 20211
16 2019126
17 201893
18 201865
19 201730
20
Numerical Simulation and Analysis of Storm Surge in the Hangzhou Bay
20132

About Song Pan

Song Pan is a scholar working on Building and Construction, Environmental Engineering, Speech and Hearing, Renewable Energy, Sustainability and the Environment and Control and Systems Engineering, having authored 149 papers that have together received 3.3k indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (38 papers), Wind and Air Flow Studies (13 papers), Piezoelectric Actuators and Control (12 papers), Solar Thermal and Photovoltaic Systems (12 papers), Magnetic Bearings and Levitation Dynamics (10 papers), Urban Heat Island Mitigation (9 papers), Noise Effects and Management (8 papers) and Heat Transfer and Optimization (7 papers). The work is most often cited by research in Building and Construction (1.4k citations), Environmental Engineering (762 citations), Speech and Hearing (218 citations), Renewable Energy, Sustainability and the Environment (483 citations) and Sensory Systems (107 citations). Song Pan has collaborated with scholars based in China, United Kingdom and Malaysia. Frequent co-authors include Xingxing Zhang, Jinshun Wu, Yixuan Wei, Mengjie Han, Liang Xia, Jiaping Liu, Yong Shi, Xiaoyun Zhao, Jingchao Xie and Xinru Wang. Their work appears in journals such as Building and Environment, Sustainable Cities and Society, Energy and Buildings, Journal of Building Engineering and Review of Scientific Instruments.

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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2026