Bo Song
- Pollution top 5%
- Heavy metals in environment 8
- Geochemistry and Petrology top 10%
- Soil Science top 10%
- Atmospheric Science top 10%
- Media Technology top 5%
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- Web Applications and Data Management 12
- Service-Oriented Architecture and Web Services 9
- Recommender Systems and Techniques 6
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- Robot Manipulation and Learning 10
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- Environmental Quality and Pollution 9
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- Reinforcement Learning in Robotics 7
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- Software Testing and Debugging Techniques 7
- Co-authors
- Yuanqing HeWeihua DongShi‐You DingXiuqin YinWei ShenZebin WuTianming ZhanWilfred H. Theakstone
- Journals
- Remote Sensing of Environment (1 paper)Journal of Hazardous Materials (1 paper)Journal of Agricultural and Food Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bo Song
124 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- Pollution 144
- Geochemistry and Petrology 69
- Soil Science 113
- Atmospheric Science 182
- Media Technology 87
Countries citing papers authored by Bo Song
This map shows the geographic impact of Bo 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 Bo Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Song more than expected).
Fields of papers citing papers by Bo Song
This network shows the impact of papers produced by Bo 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 Bo Song. The network helps show where Bo Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 20 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 17 | |
| 12 | 2021 | 11 | |
| 13 | 2019 | 37 | |
| 14 | 2018 | 76 | |
| 15 | 2016 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2015 | 3 | |
| 18 | PRELIMINARY HEALTH RISK ASSESSMENT OF THE EXPOSURE OF CHILDREN TO HEAVY METALS IN URBAN SOILS ——A CASE STUDY OF YIBIN OF SICHUAN PROVINCE | 2010 | 2 |
| 19 | Optimization for the Subway Emergency Evacuation of the Sign System | 2008 | 2 |
| 20 | [Contents and spatial distribution patterns of heavy metals in fFarmland soils of Fuxin City]. | 2007 | 1 |
About Bo Song
Bo Song is a scholar working on Software, Development and Media Technology, having authored 139 papers that have together received 1.3k indexed citations. Recurring topics across this work include Web Applications and Data Management (12 papers), Robot Manipulation and Learning (10 papers), Service-Oriented Architecture and Web Services (9 papers), Environmental Quality and Pollution (9 papers), Heavy metals in environment (8 papers), Reinforcement Learning in Robotics (7 papers), Software Testing and Debugging Techniques (7 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in Pollution (144 citations), Geochemistry and Petrology (69 citations) and Soil Science (113 citations). Bo Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuanqing He, Weihua Dong, Shi‐You Ding, Xiuqin Yin, Wei Shen, Zebin Wu, Tianming Zhan, Wilfred H. Theakstone, Wenxiong Jia and Yeqiao Wang. Their work appears in journals such as Remote Sensing of Environment, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.
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.