Weijing Wang

1.3k citations
42 papers · 869 · h-index 17

Impact in

    • Metal Extraction and Bioleaching
    • Biosensors and Analytical Detection
    • Iron and Steelmaking Processes
    • Extraction and Separation Processes
    • Metallurgical Processes and Thermodynamics

Papers in

Weijing Wang

39 papers receiving 853 citations

Peers

Weijing Wang
Comparison fields: 5 of 99
  • Biomedical Engineering 508
  • Mechanical Engineering 377
  • Water Science and Technology 105
  • Food Science 80
  • Pharmaceutical Science 20
Replace Wenjun Zhao with:
Wenjun Zhao China
Jiaqi Yan United States
Marı́a Isabel Nieto Spain
Ingo Kampen Germany
Yanhui Liang China
Caryn L. Heldt United States
Wei‐Ting Wang China
E.E. Smolko Argentina
Soonho Lee South Korea
Weijing Wang relative to Wenjun Zhao China Wenjun Zhao's profile →
Citations per field
00.5×
Wenjun Zhao · 1×
Citations per year

Countries citing papers authored by Weijing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weijing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011142
2 201582
3 201876
4 202055
5 201747
6 202346
7 202046
8 201944
9 202042
10 202231
11 201528
12 201322
13 201720
14 202220
15 202219
16 202218
17 202117
18 201316
19 202312
20 202410

About Weijing Wang

Weijing Wang is a scholar working on Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Molecular Biology and Infectious Diseases, having authored 42 papers that have together received 869 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (9 papers), Metal Extraction and Bioleaching (8 papers), Extraction and Separation Processes (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), SARS-CoV-2 detection and testing (5 papers), Advanced Biosensing Techniques and Applications (5 papers), Minerals Flotation and Separation Techniques (5 papers) and Iron and Steelmaking Processes (3 papers). The work is most often cited by research in Biomedical Engineering (508 citations), Mechanical Engineering (377 citations), Water Science and Technology (105 citations), Food Science (80 citations) and Pharmaceutical Science (20 citations). Weijing Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Qi, Desheng Chen, Lina Wang, Hongxin Zhao, Yong Wang, Desheng Chen, Bo Song, Yahui Liu, Brian T. Cunningham and Yimin Zhang. Their work appears in journals such as Biosensors and Bioelectronics, Journal of the Science of Food and Agriculture, Talanta, International Journal of Minerals Metallurgy and Materials and Ceramics International.

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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