Pi Wang

3.5k citations
64 papers · 3.2k indexed · 2 hit papers · h-index 24

Impact in

Papers in

Pi Wang

64 papers receiving 3.2k citations

Hit Papers

Functional Supramolecular Polymeric Networks: The Marriage of Covalent Polymers and Macrocycle-Based Host–Guest Interactions 2020 · 604 citations
6042015202620182022200400600

Peers

Pi Wang
Comparison fields: 5 of 83
  • Spectroscopy 1.8k
  • Biochemistry 500
  • Biomaterials 643
  • Organic Chemistry 1.3k
  • Materials Chemistry 1.9k
Replace D. Amilan Jose with:
D. Amilan Jose India
Zhixue Liu China
Chris Wai Tung Leung Hong Kong
Lijuan Jiao China
Shayu Li China
Mariana Beija France
Qinglong Qiao China
Aurore Loudet United States
Jean Bouffard South Korea
Weijie Chi China
Pi Wang relative to D. Amilan Jose India D. Amilan Jose's profile →
Citations per field
00.5×1.5×2.0×
D. Amilan Jose · 1×
Citations per year

Countries citing papers authored by Pi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Highly emissive platinum(II) metallacages
Hit paper breakdown →
2015628
2
Functional Supramolecular Polymeric Networks: The Marriage of Covalent Polymers and Macrocycle-Based Host–Guest Interactions
Hit paper breakdown →
2020604
3 2012190
4 2011170
5 2012151
6 2011133
7 2014115
8 201199
9 201097
10 201494
11 201183
12 201375
13 201167
14 201164
15 201155
16 201652
17 201949
18 201533
19 201231
20 201531

About Pi Wang

Pi Wang is a scholar working on Spectroscopy, Biomaterials, Organic Chemistry, Biochemistry and Materials Chemistry, having authored 64 papers that have together received 3.2k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (30 papers), Supramolecular Chemistry and Complexes (27 papers), Luminescence and Fluorescent Materials (26 papers), Supramolecular Self-Assembly in Materials (20 papers), Plasma Diagnostics and Applications (7 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers), Sulfur Compounds in Biology (5 papers) and Porphyrin and Phthalocyanine Chemistry (5 papers). The work is most often cited by research in Spectroscopy (1.8k citations), Biochemistry (500 citations), Biomaterials (643 citations), Organic Chemistry (1.3k citations) and Materials Chemistry (1.9k citations). Pi Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Feihe Huang, Wei Guo, Danyu Xia, Xuzhou Yan, Xin Lv, Jing Liu, Xiaofan Ji, Ke Liu, Timothy R. Cook and Peter J. Stang. Their work appears in journals such as Chemical Communications, Organic & Biomolecular Chemistry, Dalton Transactions, Chemistry - A European Journal and Physics of Plasmas.

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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