What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Statistics
Xingxing Zhang mostly deals with Photovoltaic system, Mechanical engineering, Energy engineering, Photovoltaic thermal hybrid solar collector and Heat pump.
His work carried out in the field of Photovoltaic system brings together such families of science as Solar irradiance, Thermal, Exergy and Solar energy.
His Mechanical engineering research is multidisciplinary, incorporating perspectives in Thermoelectric effect, Thermoelectric generator, Thermoelectric cooling and Figure of merit.
His Energy engineering study incorporates themes from Decision tree, Data-driven and Cluster analysis.
His Photovoltaic thermal hybrid solar collector research incorporates elements of Heat transfer and Heat pipe.
His Heat pump research includes themes of Nuclear engineering and Loop heat pipe.
His most cited work include:
- Recent development and application of thermoelectric generator and cooler (350 citations)
- Review of R&D progress and practical application of the solar photovoltaic/thermal (PV/T) technologies. (274 citations)
- Indirect evaporative cooling : Past, present and future potentials (228 citations)
What are the main themes of his work throughout his whole career to date?
Energy engineering, Photovoltaic system, Thermal, Mechanical engineering and Architectural engineering are his primary areas of study.
His studies in Energy engineering integrate themes in fields like Electricity, Loop heat pipe, Energy consumption, Environmental economics and Engineering physics.
His research investigates the connection between Environmental economics and topics such as Renewable energy that intersect with issues in Efficient energy use.
Nuclear engineering is closely connected to Heat pump in his research, which is encompassed under the umbrella topic of Photovoltaic system.
His biological study spans a wide range of topics, including Building integration, Solar energy and Facade.
His Mechanical engineering research incorporates themes from Passive solar building design and Heat pipe.
He most often published in these fields:
- Energy engineering (49.19%)
- Photovoltaic system (21.62%)
- Thermal (21.08%)
What were the highlights of his more recent work (between 2019-2021)?
- Energy engineering (49.19%)
- Photovoltaic system (21.62%)
- Artificial intelligence (10.27%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Energy engineering, Photovoltaic system, Artificial intelligence, Renewable energy and Electricity.
Xingxing Zhang performs multidisciplinary studies into Energy engineering and Data acquisition in his work.
He interconnects Techno economic, Reliability engineering, Thermal and Solar power in the investigation of issues within Photovoltaic system.
His Thermal research includes elements of Coefficient of performance, Air source heat pumps, Process engineering and Payback time.
Xingxing Zhang has researched Artificial intelligence in several fields, including Machine learning and Computer vision.
His Renewable energy study combines topics from a wide range of disciplines, such as Efficient energy use and Solar energy.
Between 2019 and 2021, his most popular works were:
- A review of data centers as prosumers in district energy systems: Renewable energy integration and waste heat reuse for district heating (34 citations)
- A systematic review of recent air source heat pump (ASHP) systems assisted by solar thermal, photovoltaic and photovoltaic/thermal sources (18 citations)
- An early-stage analysis of climate-adaptive designs for multi-family buildings under future climate scenario : Case studies in Rome, Italy and Stockholm, Sweden (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Statistics
His primary areas of study are Electricity, Energy engineering, Renewable energy, Photovoltaic system and Energy storage.
His Electricity research integrates issues from Occupancy, Artificial neural network, Data-driven, Real-time computing and Efficient energy use.
The various areas that Xingxing Zhang examines in his Energy engineering study include Thermal, Range and Environmental economics.
His Renewable energy research is multidisciplinary, incorporating elements of Waste heat, Waste heat recovery unit and Reuse.
The study incorporates disciplines such as Coefficient of performance, Air source heat pumps, Process engineering and Solar energy in addition to Photovoltaic system.
His Energy storage study integrates concerns from other disciplines, such as Electric vehicle, Genetic algorithm, Reliability engineering, Automotive engineering and Solar power.
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