Guan‐Jun Ding

738 citations
19 papers · 660 · h-index 14

Impact in

Papers in

Guan‐Jun Ding

19 papers receiving 647 citations

Peers

Guan‐Jun Ding
Comparison fields: 5 of 47
  • Water Science and Technology 134
  • Biomedical Engineering 220
  • Biomaterials 71
  • Electronic, Optical and Magnetic Materials 62
  • Renewable Energy, Sustainability and the Environment 59
Replace Shahram Moradi Dehaghi with:
Shahram Moradi Dehaghi Iran
Yongsheng Qiao China
Qiyan Hu China
Mohammad Mehdi Salehi Iran
Zhiyuan Peng China
Qihua Cao China
Ismayil Nurulla China
Tingting Zhao China
Ajaz Ahmad Wani India
Magdalena Sobiesiak Poland
Guan‐Jun Ding relative to Shahram Moradi Dehaghi Iran Shahram Moradi Dehaghi's profile →
Citations per field
00.5×2×2.7×
Shahram Moradi Dehaghi · 1×
Citations per year

Countries citing papers authored by Guan‐Jun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guan‐Jun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan‐Jun Ding. 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 Guan‐Jun Ding. The network helps show where Guan‐Jun Ding may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2020119
2 201561
3 201559
4 201954
5 200550
6 201442
7 201439
8 201433
9 201430
10 201530
11 201528
12 201927
13 202120
14 201516
15 201413
16 201512
17 200610
18 202310
19 20217

About Guan‐Jun Ding

Guan‐Jun Ding is a scholar working on Biomedical Engineering, Biomaterials, Water Science and Technology, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 19 papers that have together received 660 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (10 papers), Nanoparticle-Based Drug Delivery (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Adsorption and biosorption for pollutant removal (3 papers), Luminescence and Fluorescent Materials (1 paper), Phosphorus and nutrient management (1 paper), Advanced Drug Delivery Systems (1 paper) and Magnesium Oxide Properties and Applications (1 paper). The work is most often cited by research in Water Science and Technology (134 citations), Biomedical Engineering (220 citations), Biomaterials (71 citations), Electronic, Optical and Magnetic Materials (62 citations) and Renewable Energy, Sustainability and the Environment (59 citations). Guan‐Jun Ding has collaborated with scholars based in China. Frequent co-authors include Ying‐Jie Zhu, Feng Chen, Jin Liang Wu, Chao Qi, Lijun You, Tuan‐Wei Sun, Jumei Li, Ke Xu, Bing‐Qiang Lu and Xinming Shi. Their work appears in journals such as Materials Letters, Journal of Molecular Liquids, Journal of Materials Chemistry B, RSC Advances and Journal of Colloid and Interface Science.

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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