Xiaoyan Ji

9.7k citations
306 papers · 7.8k indexed · 2 hit papers · h-index 45

Impact in

Papers in

Xiaoyan Ji

295 papers receiving 7.7k citations

Hit Papers

Cascade utilization of lignocellulosic biomass to high-value products 2019 · 316 citations
3162018202620202023100200300400

Peers

Xiaoyan Ji
Comparison fields: 5 of 130
  • Catalysis 3.5k
  • Filtration and Separation 816
  • Process Chemistry and Technology 425
  • Fluid Flow and Transfer Processes 858
  • Biomedical Engineering 3.1k
Replace Yu Chen with:
Yu Chen China
Dezhi Sun China
Gary T. Rochelle United States
Xingang Li China
Phillip E. Savage United States
Majeda Khraisheh Qatar
Wenying Li China
Chunming Xu China
Xiaomin Zhang China
Ane Urtiaga Spain
Xiaoyan Ji relative to Yu Chen China Yu Chen's profile →
Citations per field
00.5×8.3×
Yu Chen · 1×
Citations per year

Countries citing papers authored by Xiaoyan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20251
3 20253
4 20250
5 20250
6 20253
7 20254
8 20240
9 20242
10 20242
11 202315
12 202326
13 20232
14 202344
15 202313
16 20215
17 201948
18 201950
19
Cascade utilization of lignocellulosic biomass to high-value products
Hit paper breakdown →
2019316
20 20111

About Xiaoyan Ji

Xiaoyan Ji is a scholar working on Catalysis, Filtration and Separation, Fluid Flow and Transfer Processes, Process Chemistry and Technology and Mechanical Engineering, having authored 306 papers that have together received 7.8k indexed citations. Recurring topics across this work include Ionic liquids properties and applications (133 papers), Phase Equilibria and Thermodynamics (104 papers), Carbon Dioxide Capture Technologies (89 papers), Thermodynamic properties of mixtures (42 papers), Chemical and Physical Properties in Aqueous Solutions (36 papers), Membrane Separation and Gas Transport (25 papers), CO2 Reduction Techniques and Catalysts (19 papers) and Electrochemical Analysis and Applications (17 papers). The work is most often cited by research in Catalysis (3.5k citations), Filtration and Separation (816 citations), Process Chemistry and Technology (425 citations), Fluid Flow and Transfer Processes (858 citations) and Biomedical Engineering (3.1k citations). Xiaoyan Ji has collaborated with scholars based in Sweden, China and United States. Frequent co-authors include Xiaohua Lü, Chunyan Ma, Yujiao Xie, Shokat Sarmad, Hertanto Adidharma, Aatto Laaksonen, Christoph Held, Chang Liu, Suojiang Zhang and Yanrong Liu. Their work appears in journals such as Fluid Phase Equilibria, Industrial & Engineering Chemistry Research, Applied Energy, Separation and Purification Technology and Journal of Chemical & Engineering Data.

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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