Zhenqin Wu

4.3k citations
16 papers · 2.4k indexed · 1 hit paper · h-index 9
Topics
Single-cell and spatial transcriptomics (5 papers)Cell Image Analysis Techniques (4 papers)Machine Learning in Materials Science (3 papers)

In The Last Decade

Zhenqin Wu

15 papers receiving 2.4k citations

Hit Papers

MoleculeNet: a benchmark for molecular machine learning2017202620202023201750010001.5k

Peers

Zhenqin Wu
Comparison fields: 5 of 142
  • Computational Theory and Mathematics 1.6k
  • Materials Chemistry 1.3k
  • Molecular Biology 1.3k
  • Artificial Intelligence 339
  • Spectroscopy 121
Replace Djork-Arné Clevert with:
Djork-Arné Clevert Germany
Jörg K. Wegner Belgium
Marc Berndl United States
Xutong Li China
Christian Tyrchan Sweden
Evan N. Feinberg United States
Gerard J. P. van Westen Netherlands
Thomas Blaschke Germany
Marwin Segler United Kingdom
Joseph Gomes United States
Zhenqin Wu relative to Djork-Arné Clevert Germany Djork-Arné Clevert's profile →
Citations per field
00.5×1.5×1.8×
Djork-Arné Clevert · 1×
Citations per year

Countries citing papers authored by Zhenqin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenqin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenqin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenqin Wu. A scholar is included among the top collaborators of Zhenqin Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenqin Wu. Zhenqin Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 5
3 4
4 1
5 12
6 0
7 15
8 24
9 67
10 19
11 5
12 82
13 298
14
MoleculeNet: a benchmark for molecular machine learningbreakdown →
1696
15 183
16 5

About Zhenqin Wu

Zhenqin Wu is a scholar working on Biophysics, Health Informatics and Computational Theory and Mathematics, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (4 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Materials Chemistry (1.3k citations) and Biophysics (111 citations). Zhenqin Wu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Bharath Ramsundar, Vijay S. Pande, Evan N. Feinberg, Joseph Gomes, Karl Leswing, Caleb Geniesse, Jianyi Yang, Saisai Sun, Brooke E. Husic and Yang Li. Their work appears in journals such as Nature Communications, Physiological Reviews and Nature reviews. Cancer.

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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