Bin Kong

4.0k total citations · 1 hit paper
62 papers, 2.6k citations indexed

About

Bin Kong is a scholar working on Mechanical Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Bin Kong has authored 62 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mechanical Engineering, 13 papers in Materials Chemistry and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Bin Kong's work include Intermetallics and Advanced Alloy Properties (23 papers), Semiconductor materials and interfaces (10 papers) and Additive Manufacturing Materials and Processes (7 papers). Bin Kong is often cited by papers focused on Intermetallics and Advanced Alloy Properties (23 papers), Semiconductor materials and interfaces (10 papers) and Additive Manufacturing Materials and Processes (7 papers). Bin Kong collaborates with scholars based in China, United States and Pakistan. Bin Kong's co-authors include Lina Jia, Hu Zhang, Youbing Yin, Yueling Guo, Kunlin Cao, Junjie Bai, Xin Wang, Qi Song, Yi Lu and Jun Xia and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Bin Kong

60 papers receiving 2.6k citations

Hit Papers

Using Artificial Intelligence to Detect COVID-19 and Comm... 2020 2026 2022 2024 2020 400 800 1.2k
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.

  1. Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy
    2020 1.3k citations Lin Li, Lixin Qin et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Kong China 21 1.3k 739 652 332 325 62 2.6k
Ying Wei China 23 709 0.6× 63 0.1× 363 0.6× 245 0.7× 54 0.2× 104 1.9k
Eduardo Romero Colombia 22 526 0.4× 92 0.1× 642 1.0× 127 0.4× 158 0.5× 172 1.9k
Ho Lee South Korea 25 552 0.4× 99 0.1× 139 0.2× 216 0.7× 81 0.2× 160 2.2k
Seung Seog Han South Korea 15 281 0.2× 174 0.2× 574 0.9× 27 0.1× 70 0.2× 38 1.7k
Dahong Qian China 21 664 0.5× 50 0.1× 221 0.3× 186 0.6× 69 0.2× 61 1.3k
Jian Zhuang China 25 311 0.2× 101 0.1× 228 0.3× 534 1.6× 46 0.1× 269 2.7k
Sheng Xu United States 32 1.6k 1.3× 120 0.2× 453 0.7× 1.8k 5.3× 15 0.0× 133 3.6k
Jiancheng Yang China 17 613 0.5× 39 0.1× 530 0.8× 322 1.0× 43 0.1× 62 1.6k

Countries citing papers authored by Bin Kong

Since Specialization
Citations

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

Fields of papers citing papers by Bin Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Kong

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

All Works

20 of 20 papers shown
1.
Chen, Kening, et al.. (2025). A complementary precipitated mechanism of grain boundary α phases in metastable β titanium alloy. Materials Letters. 390. 138450–138450.
2.
Jiang, Bingqian, Zhi Zhou, Chengxuan Yu, et al.. (2025). Fabrication of collagen-based biomaterials for sports medicine application. Regenerative Biomaterials. 12. rbaf116–rbaf116.
3.
Wu, Xiangyi, et al.. (2025). Living hydrogel with blood derived elements for wound healing. Materials Today Bio. 33. 102002–102002. 1 indexed citations
4.
He, Junyang, et al.. (2025). Research on the related between microstructures and impact toughness of Ti80 alloy. Journal of Materials Research and Technology. 35. 702–713. 9 indexed citations
5.
Kong, Bin, Guang Yang, Cong Li, et al.. (2024). A Novel Targeted Microtubules Transformable Nanopeptide System Yields Strong Anti‐Prostate Cancer Effects by Suppressing Nuclear Translocation of Androgen Receptors. Advanced Materials. 36(48). e2407826–e2407826. 2 indexed citations
6.
Lu, Yi, Bin Kong, Feng Gao, et al.. (2023). Attention-driven tree-structured convolutional LSTM for high dimensional data understanding. Frontiers in Physics. 11. 2 indexed citations
7.
Kong, Bin, et al.. (2023). Strain Rate Dependence and Recrystallization Modeling for TC18 Alloy during Post-Deformation Annealing. Materials. 16(3). 1140–1140. 5 indexed citations
8.
Fang, Zhenghan, Junjie Bai, Xinyu Guo, et al.. (2022). Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning. IEEE Transactions on Artificial Intelligence. 4(2). 255–267. 14 indexed citations
9.
10.
Fang, Jin, Bin Kong, Wei Shuai, et al.. (2021). Ferroportin-mediated ferroptosis involved in new-onset atrial fibrillation with LPS-induced endotoxemia. European Journal of Pharmacology. 913. 174622–174622. 52 indexed citations
11.
Li, Lin, Lixin Qin, Youbing Yin, et al.. (2020). Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy. Radiology. 296(2). E65–E71. 1309 indexed citations breakdown →
12.
Kong, Bin, Xin Wang, Junjie Bai, et al.. (2019). Learning tree-structured representation for 3D coronary artery segmentation. Computerized Medical Imaging and Graphics. 80. 101688–101688. 59 indexed citations
13.
Guo, Yueling, et al.. (2018). Microstructure and High-Temperature Oxidation Behavior of Dy-Doped Nb–Si-Based Alloys. Acta Metallurgica Sinica (English Letters). 31(7). 742–752. 17 indexed citations
14.
Jia, Lina, et al.. (2018). Microstructure and room temperature fracture toughness of Nb–Si‐based alloys with Sr addition. Rare Metals. 43(8). 3904–3912. 15 indexed citations
15.
Guo, Yueling, et al.. (2017). Simultaneous improvement in fracture toughness and oxidation resistance of Nb-Si based alloys by vanadium addition. Materials Science and Engineering A. 701. 149–157. 49 indexed citations
16.
Zhang, Shengnan, Lina Jia, Yueling Guo, et al.. (2017). High‐temperature oxidation behavior of Nb–Si‐based alloy with separate vanadium, tantalum, tungsten and zirconium addition. Rare Metals. 40(3). 607–615. 25 indexed citations
17.
18.
Huang, He, et al.. (2016). Comparison of efficacy of different treatments for pulmonary embolism. Journal of Huazhong University of Science and Technology [Medical Sciences]. 36(2). 254–258. 1 indexed citations
19.
Li, Zhen, et al.. (2015). Microstructure evolution of eutectic Nb–24Ti–15Si–4Cr–2Al–2Hf alloy processed by directional solidification. Rare Metals. 36(6). 472–477. 10 indexed citations
20.
Bai, Huijuan, et al.. (2014). Purification behaviour of GH4169 scraps under argon atmosphere during vacuum induction melting. Materials Research Innovations. 18(sup4). S4–357. 6 indexed citations

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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