What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Statistics
Jun Bi mostly deals with Environmental engineering, Environmental health, Pollution, Computer network and Energy consumption.
His work deals with themes such as Waste management, Material flow analysis, Fertilizer and Sustainable development, which intersect with Environmental engineering.
His Environmental health research includes themes of Cross-sectional study, Interquartile range and Population study.
The various areas that he examines in his Pollution study include Environmental protection, Natural resource economics, Health risk assessment, Environmental exposure and Environmental monitoring.
The concepts of his Computer network study are interwoven with issues in Wireless, Distributed computing and IP address spoofing.
His studies deal with areas such as Energy conservation, Secondary sector of the economy, Water conservation, Greenhouse gas and Environmental economics as well as Energy consumption.
His most cited work include:
- The Circular Economy: A New Development Strategy in China (512 citations)
- Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China 2004-2013 (386 citations)
- A review of soil heavy metal pollution from industrial and agricultural regions in China: Pollution and risk assessment. (371 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer network, Distributed computing, The Internet, Network packet and Scalability.
Computer network is closely attributed to IP address spoofing in his work.
Jun Bi interconnects ARP spoofing and Ingress filtering in the investigation of issues within IP address spoofing.
His Distributed computing study incorporates themes from Policy-based routing, Static routing, Link-state routing protocol, Routing and Forwarding plane.
His The Internet research integrates issues from Computer security and Service.
Much of his study explores Spoofing attack relationship to Denial-of-service attack.
He most often published in these fields:
- Computer network (40.77%)
- Distributed computing (20.73%)
- The Internet (15.72%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer network (40.77%)
- Network packet (12.98%)
- Pollution (7.29%)
In recent papers he was focusing on the following fields of study:
Jun Bi mainly focuses on Computer network, Network packet, Pollution, Scalability and Distributed computing.
His work in Computer network covers topics such as The Internet which are related to areas like Field.
His Network packet research also works with subjects such as
- Overhead and related Embedded system,
- Stateful firewall which connect with Packet processing.
The study incorporates disciplines such as Pollutant, Environmental protection, Environmental monitoring, Seasonality and Air pollution in addition to Pollution.
His research in Air pollution intersects with topics in Contingent valuation, Willingness to pay, Natural resource economics and Air quality index.
He has researched Distributed computing in several fields, including Scheduling, Throughput and Network Functions Virtualization.
Between 2017 and 2021, his most popular works were:
- A review of soil heavy metal pollution from industrial and agricultural regions in China: Pollution and risk assessment. (371 citations)
- The Tsinghua– Lancet Commission on Healthy Cities in China: unlocking the power of cities for a healthy China (63 citations)
- Unequal Exchange of Air Pollution and Economic Benefits Embodied in China's Exports. (55 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Statistics
Jun Bi mainly investigates Air pollution, Pollution, Pollutant, Air quality index and Natural resource economics.
His study in the field of Emission inventory also crosses realms of Chinese population.
His Pollution research is multidisciplinary, incorporating perspectives in Range, Water column and Environmental protection.
His studies in Environmental protection integrate themes in fields like Soil Pollutants, Health risk assessment, Environmental monitoring and Environmental exposure.
His Air quality index research incorporates elements of Percentile and Environmental health.
His research integrates issues of Regression analysis, Empirical research and Multilevel model in his study of Environmental health.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
