J. Wu

12.4k total citations · 1 hit paper
7 papers, 620 citations indexed

About

J. Wu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Surgery. According to data from OpenAlex, J. Wu has authored 7 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Electrical and Electronic Engineering, 2 papers in Materials Chemistry and 1 paper in Surgery. Recurrent topics in J. Wu's work include Orthopaedic implants and arthroplasty (1 paper), Perovskite Materials and Applications (1 paper) and Bone Tissue Engineering Materials (1 paper). J. Wu is often cited by papers focused on Orthopaedic implants and arthroplasty (1 paper), Perovskite Materials and Applications (1 paper) and Bone Tissue Engineering Materials (1 paper). J. Wu collaborates with scholars based in China, United States and Germany. J. Wu's co-authors include N. V. Sokolskaya, J. H. Adams, H. S. Ahn, M. J. Christl, E. Kuznetsov, W. Schmidt, O. Ganel, J. W. Watts, J. P. Wefel and E. S. Seo and has published in prestigious journals such as Nature, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

J. Wu

4 papers receiving 589 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An excess of cosmic ray electrons at energies of 300–800 GeV

2008 616 citations J. Chang, J. H. Adams et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J. Wu China	2	601	360	39	10	8	7	620
N. V. Sokolskaya Russia	5	738 1.2×	402 1.1×	41 1.1×	11 1.1×	8 1.0×	21	755
H. S. Ahn United States	4	625 1.0×	369 1.0×	39 1.0×	10 1.0×	8 1.0×	13	642
J. Isbert United States	4	640 1.1×	373 1.0×	41 1.1×	19 1.9×	8 1.0×	15	662
G. L. Bashindzhagyan Russia	5	662 1.1×	376 1.0×	42 1.1×	17 1.7×	8 1.0×	28	680
Ningqiang Song Canada	10	395 0.7×	262 0.7×	74 1.9×	11 1.1×	15 1.9×	24	483
E. Kuznetsov Russia	2	604 1.0×	362 1.0×	39 1.0×	18 1.8×	8 1.0×	6	637
Yu-Feng Zhou China	18	753 1.3×	401 1.1×	73 1.9×	10 1.0×	14 1.8×	65	787
Núria Vinyoles Spain	5	248 0.4×	217 0.6×	49 1.3×	6 0.6×	6 0.8×	8	368
P. Antoranz Spain	13	693 1.2×	569 1.6×	22 0.6×	10 1.0×	8 1.0×	25	735
U. Barres de Almeida Brazil	13	646 1.1×	589 1.6×	17 0.4×	6 0.6×	8 1.0×	57	721

Countries citing papers authored by J. Wu

Since Specialization

Citations

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

Fields of papers citing papers by J. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of J. Wu. A scholar is included among the top collaborators of J. 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 J. Wu. J. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Wu, J., et al.. (2025). Tree species identification based on convolutional neural network and feature fusion. Computers and Electronics in Agriculture. 237. 110691–110691. 1 indexed citations

2.

Weng, Y. & J. Wu. (2025). Database management systems for artificial intelligence: Comparative analysis of postgre SQL and MongoDB. World Journal of Advanced Research and Reviews. 25(2). 2336–2342.

3.

Wu, J., et al.. (2025). Research on credit risk of listed companies: a hybrid model based on TCN and DilateFormer. Scientific Reports. 15(1). 2599–2599. 2 indexed citations

4.

Li, Jun, Bo Jiang, Liu Yang, et al.. (2025). Dual-functional titanium implants via polydopamine-mediated lithium and copper co-incorporation: synergistic enhancement of osseointegration and antibacterial efficacy. Frontiers in Bioengineering and Biotechnology. 13. 1593545–1593545.

5.

Liu, Haolin, et al.. (2025). A Generalizable Machine Learning Framework for Identifying Sustainable Multi-Ion Garnet Electrolytes. ACS Applied Materials & Interfaces. 17(29). 41868–41882. 1 indexed citations

6.

Lu, Weipeng, et al.. (2025). Graph Transformer Model Integrating Physical Features for Projected Electronic Density of States Prediction. The Journal of Physical Chemistry A. 129(25). 5700–5708.

7.

Chang, J., J. H. Adams, H. S. Ahn, et al.. (2008). An excess of cosmic ray electrons at energies of 300–800 GeV. Nature. 456(7220). 362–365. 616 indexed citations breakdown →

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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