Xiao Jun Wang

421 citations
55 papers · 300 · h-index 10

Impact in

Papers in

    • Advanced machining processes and optimization 4
    • Aluminum Alloys Composites Properties 3
    • Neutropenia and Cancer Infections 7
    • Cancer survivorship and care 3

Xiao Jun Wang

52 papers receiving 294 citations

Peers

Xiao Jun Wang
Comparison fields: 5 of 78
  • Oncology 97
  • Ceramics and Composites 14
  • Biomaterials 21
  • Mechanical Engineering 53
  • Materials Chemistry 64
Replace Yukiko Nishioka with:
Yukiko Nishioka Japan
Taili Chen China
Tammy Steimetz Argentina
Yanyan Song China
Manpreet Kaur India
Jing He China
Ezio Battaglione Italy
Matthew D. Eaton United States
Dongxiao Yang China
J.C. Kim South Korea
Xiao Jun Wang relative to Yukiko Nishioka Japan Yukiko Nishioka's profile →
Citations per field
00.5×3.3×
Yukiko Nishioka · 1×
Citations per year

Countries citing papers authored by Xiao Jun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Jun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200639
2 201737
3 201422
4 200417
5 202115
6 201815
7 201413
8
Unidirectional trends in rainfall and temperature of Bangladesh
201412
9 20149
10 20169
11 20229
12 20169
13 20168
14 20175
15 20164
16 20154
17 20114
18 20174
19 20134
20 20124

About Xiao Jun Wang

Xiao Jun Wang is a scholar working on Mechanical Engineering, Oncology, Materials Chemistry, Surgery and Aerospace Engineering, having authored 55 papers that have together received 300 indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (7 papers), Luminescence Properties of Advanced Materials (5 papers), Advanced machining processes and optimization (4 papers), Cancer survivorship and care (3 papers), Aluminum Alloy Microstructure Properties (3 papers), Aluminum Alloys Composites Properties (3 papers), High-Temperature Coating Behaviors (2 papers) and Innovative concrete reinforcement materials (2 papers). The work is most often cited by research in Oncology (97 citations), Ceramics and Composites (14 citations), Biomaterials (21 citations), Mechanical Engineering (53 citations) and Materials Chemistry (64 citations). Xiao Jun Wang has collaborated with scholars based in China, Singapore and Switzerland. Frequent co-authors include Alexandre Chan, Yan Gan, Jung‐woo Chae, Terence Ng, Maung Shwe, Hui Ling Yeo, Jun Yuan, Fu Yi, Jing Zhao and Shamsuddin Shahid. Their work appears in journals such as PLoS ONE, Journal of Pain and Symptom Management, Advanced materials research, Current Oncology Reports and Critical Reviews in Oncology/Hematology.

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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