Xiaojuan Song

2.1k citations
76 papers · 1.7k · h-index 20

Impact in

Papers in

Xiaojuan Song

72 papers receiving 1.7k citations

Peers

Xiaojuan Song
Comparison fields: 5 of 110
  • Materials Chemistry 746
  • Health, Toxicology and Mutagenesis 174
  • Pollution 101
  • Water Science and Technology 110
  • Renewable Energy, Sustainability and the Environment 119
Replace Yongkun Wang with:
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Xiaojuan Song relative to Yongkun Wang China Yongkun Wang's profile →
Citations per field
00.5×1.6×
Yongkun Wang · 1×
Citations per year

Countries citing papers authored by Xiaojuan Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012373
2 2013287
3 2014124
4 2019115
5 201957
6 201852
7 202052
8 202243
9 202234
10 201833
11 202431
12 202229
13 201728
14 201327
15 202227
16 202124
17 202423
18 202223
19 202422
20 202020

About Xiaojuan Song

Xiaojuan Song is a scholar working on Molecular Biology, Control and Systems Engineering, Computational Mechanics, Civil and Structural Engineering and Materials Chemistry, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fluid Dynamics Simulations and Interactions (12 papers), Fibroblast Growth Factor Research (10 papers), Structural Analysis and Optimization (9 papers), Composite Structure Analysis and Optimization (8 papers), Kruppel-like factors research (7 papers), Dynamics and Control of Mechanical Systems (7 papers), Adaptive Control of Nonlinear Systems (6 papers) and Vibration and Dynamic Analysis (6 papers). The work is most often cited by research in Materials Chemistry (746 citations), Health, Toxicology and Mutagenesis (174 citations), Pollution (101 citations), Water Science and Technology (110 citations) and Renewable Energy, Sustainability and the Environment (119 citations). Xiaojuan Song has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Ching‐Ping Wong, Yagang Yao, Shufeng Lu, Kyoung‐sik Moon, Ziyin Lin, Zhuo Li, Wen Zhang, Yongsheng Chen, Zhongzheng Yang and Wei Zhang. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Journal of Vibration and Control, Atmospheric chemistry and physics and Acta Mechanica Sinica.

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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