Haijun Wang

528 total citations
32 papers, 353 citations indexed

About

Haijun Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Haijun Wang has authored 32 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Surgery and 8 papers in Genetics. Recurrent topics in Haijun Wang's work include Pituitary Gland Disorders and Treatments (25 papers), Adrenal and Paraganglionic Tumors (10 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). Haijun Wang is often cited by papers focused on Pituitary Gland Disorders and Treatments (25 papers), Adrenal and Paraganglionic Tumors (10 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). Haijun Wang collaborates with scholars based in China, United States and United Kingdom. Haijun Wang's co-authors include Yonghong Zhu, Dongsheng He, Zhigang Mao, Bin Hu, Zongming Wang, Youfan Ye, Xintong Zhao, Wenli Chen, Hongyang Zhao and N. V. S. Dinesh K. Bhupathiraju and has published in prestigious journals such as Journal of neurosurgery, IEEE Access and Neurocomputing.

In The Last Decade

Haijun Wang

31 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haijun Wang China 13 246 102 84 82 40 32 353
David Fitzpatrick Ireland 10 39 0.2× 114 1.1× 89 1.1× 72 0.9× 79 2.0× 24 389
Juan Solivera Spain 11 57 0.2× 36 0.4× 102 1.2× 75 0.9× 139 3.5× 26 359
Vladislav Pavlov Russia 11 57 0.2× 61 0.6× 79 0.9× 72 0.9× 99 2.5× 41 343
Christopher P. Cifarelli United States 11 60 0.2× 160 1.6× 136 1.6× 56 0.7× 25 0.6× 35 350
Peter M. Schaefer United States 11 45 0.2× 80 0.8× 53 0.6× 36 0.4× 64 1.6× 17 298
Hongliang Fu China 11 151 0.6× 10 0.1× 18 0.2× 79 1.0× 39 1.0× 37 315
Darko Katalinić Croatia 10 51 0.2× 20 0.2× 20 0.2× 79 1.0× 73 1.8× 28 253
Cathal John Hannan United Kingdom 11 47 0.2× 38 0.4× 136 1.6× 90 1.1× 39 1.0× 33 322
Seung Jin Choi South Korea 9 18 0.1× 75 0.7× 27 0.3× 38 0.5× 50 1.3× 25 296
Jason Blaichman Canada 8 73 0.3× 12 0.1× 16 0.2× 169 2.1× 42 1.1× 10 381

Countries citing papers authored by Haijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haijun Wang. A scholar is included among the top collaborators of Haijun Wang 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 Haijun Wang. Haijun Wang 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.
Xiang, Yang, et al.. (2025). Uncertainty Driven Adaptive Self-Knowledge Distillation for Medical Image Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3455–3468.
2.
Yang, Zailin, Yuandong Liu, Yu Tang, et al.. (2025). Effect of USRP on corrosion properties of Mg–Y-Nd-Gd-Zr magnesium alloy. Materials Chemistry and Physics. 344. 131042–131042. 2 indexed citations
3.
Shi, Lei, Zhigang Wu, C Tian, et al.. (2025). Development and application of HDA-ABi-GRU-based on the interpersonal problems scale of personality disorders in acromegaly patients. Neurocomputing. 653. 131138–131138. 1 indexed citations
4.
Li, Shuang, Youfan Ye, Xing Huang, et al.. (2024). Endoscopic endonasal transsphenoidal approach improves endocrine function and surgical outcome in primary craniopharyngioma resection: a systematic review and meta-analysis. World Journal of Surgical Oncology. 22(1). 137–137. 5 indexed citations
5.
6.
Zhang, Shaolin, Shun Yao, Jinping Chen, et al.. (2023). Correlation between tumor invasion and somatostatin receptor subtypes in acromegaly. Journal of neurosurgery. 140(4). 1019–1028. 5 indexed citations
7.
Wang, Mengqi, Shun Yao, Jinping Chen, et al.. (2023). Using 2-dimensional hand photographs to predict postoperative biochemical remission in acromegaly patients: a transfer learning approach. Quantitative Imaging in Medicine and Surgery. 13(6). 3747–3759. 1 indexed citations
8.
Ye, Youfan, et al.. (2022). Clinical Outcomes of Transcranial and Endoscopic Endonasal Surgery for Craniopharyngiomas: A Single-Institution Experience. Frontiers in Oncology. 12. 755342–755342. 18 indexed citations
9.
Dai, Congxin, Jun Kang, Xiaohai Liu, et al.. (2021). How to Classify and Define Pituitary Tumors: Recent Advances and Current Controversies. Frontiers in Endocrinology. 12. 604644–604644. 20 indexed citations
10.
Yao, Shun, Wenli Chen, Sherwin Tavakol, et al.. (2021). Predictors of postoperative biochemical remission in acromegaly. Journal of Neuro-Oncology. 151(2). 313–324. 18 indexed citations
11.
12.
Feng, Yajuan, Zongming Wang, Xiaobing Jiang, et al.. (2018). Incidence rate and risk factors of early repolarization in patients with growth hormone-secreting pituitary adenoma: a cohort study. Therapeutics and Clinical Risk Management. Volume 15. 65–72. 1 indexed citations
13.
Wang, Zongming, Zhigang Mao, Xiangsong Zhang, et al.. (2018). Utility of 13N-Ammonia PET/CT to Detect Pituitary Tissue in Patients with Pituitary Adenomas. Academic Radiology. 26(9). 1222–1228. 13 indexed citations
14.
Jiang, Xiaobing, Zhen Liu, Xing Huang, Haijun Wang, & Hongyang Zhao. (2017). Extended endoscopic endonasal approach for pituitary adenoma: a single-center experience of 171 patients. Chinese Neurosurgical Journal. 3(1). 2 indexed citations
15.
Wang, Haijun, et al.. (2015). Synthesis and properties of a series of carboranyl-BODIPYs. Journal of Organometallic Chemistry. 798(Pt 1). 209–213. 25 indexed citations
16.
Li, Shuyuan, et al.. (2014). CPT, the main test method of skin neuronal sensitivity. Cutaneous and Ocular Toxicology. 34(3). 208–211. 7 indexed citations
17.
Li, Cuiling, Dongsheng He, Zhigang Mao, et al.. (2013). Increased carotid intima media thickness is associated with prolactin levels in subjects with untreated prolactinoma: a pilot study. Pituitary. 17(3). 232–239. 38 indexed citations
18.
He, Dongsheng, Zhigang Mao, Bin Hu, et al.. (2013). BMI, apolipoprotein B/apolipoprotein A-I ratio, and insulin resistance in patients with prolactinomas: a pilot study in a Chinese cohort. Tumor Biology. 34(2). 1171–1176. 24 indexed citations
19.
Zhao, Xintong, et al.. (2011). An analysis of related factors of surgical results for patients with craniopharyngiomas. Clinical Neurology and Neurosurgery. 114(2). 149–155. 18 indexed citations
20.
Mao, Zhigang, Weiwei Xiao, Haijun Wang, et al.. (2010). Pituicytoma: Report of two cases. Oncology Letters. 2(1). 37–41. 15 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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