Chunlong Wu

527 citations
30 papers · 364 · h-index 11

Impact in

Papers in

Chunlong Wu

27 papers receiving 359 citations

Peers

Chunlong Wu
Comparison fields: 5 of 72
  • Cancer Research 32
  • Oncology 56
  • Materials Chemistry 80
  • Biomaterials 22
  • Biomedical Engineering 56
Replace Jean‐Marc Vrigneaud with:
Jean‐Marc Vrigneaud France
Shota Konishi Japan
Xiaojiao Zeng China
Daisuke Furukawa Japan
Zhu-ting Fang China
Bárbara Cardinali Italy
Yupeng Huang China
Satoshi Kinoshita Japan
Takeshi Hiraoka Japan
Chunlong Wu relative to Jean‐Marc Vrigneaud France Jean‐Marc Vrigneaud's profile →
Citations per field
00.5×1.7×
Jean‐Marc Vrigneaud · 1×
Citations per year

Countries citing papers authored by Chunlong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chunlong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201361
2 201353
3 202235
4 202029
5 201528
6 202224
7 202020
8 202417
9 202115
10 202214
11 202312
12 20218
13 20127
14 20247
15 20235
16 20145
17 20233
18
Combining Syntactic and Semantic Features by SVM for Unrestricted Coreference Resolution
20113
19 20123
20 20243

About Chunlong Wu

Chunlong Wu is a scholar working on Materials Chemistry, Molecular Biology, Atomic and Molecular Physics, and Optics, Oncology and Electrical and Electronic Engineering, having authored 30 papers that have together received 364 indexed citations. Recurring topics across this work include 2D Materials and Applications (5 papers), Topological Materials and Phenomena (4 papers), Electromagnetic Launch and Propulsion Technology (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Graphene research and applications (3 papers), Combustion and Detonation Processes (3 papers), Advanced Condensed Matter Physics (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (32 citations), Oncology (56 citations), Materials Chemistry (80 citations), Biomaterials (22 citations) and Biomedical Engineering (56 citations). Chunlong Wu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Shiyong Chen, Haixi Yan, Yufen Zheng, Xiaolong Liang, Enze Qu, Tiannan Guo, Jinrui Wang, Changhui Li, Xiaoda Li and Zhifei Dai. Their work appears in journals such as Physical review. B., Nature Communications, Nature Protocols, Clinica Chimica Acta and Frontiers of Physics.

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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