Sana Moin

749 total citations · 1 hit paper
7 papers, 507 citations indexed

About

Sana Moin is a scholar working on Computer Networks and Communications, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Sana Moin has authored 7 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in Sana Moin's work include IoT and Edge/Fog Computing (2 papers), Topic Modeling (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). Sana Moin is often cited by papers focused on IoT and Edge/Fog Computing (2 papers), Topic Modeling (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). Sana Moin collaborates with scholars based in Pakistan, Malaysia and Netherlands. Sana Moin's co-authors include Ahmad Karim, Shahaboddin Shamshirband, Ali Hussein Hasan, Ejaz Ahmed, Muhammad Imran, Muhammad Saqlain, Muhammad Saeed, Said Broumi, Florentín Smarandache and V. Vijayakumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and Concurrency and Computation Practice and Experience.

In The Last Decade

Sana Moin

6 papers receiving 472 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.

Machine Learning-Based Sentiment Analysis for Twitter Accounts

2018 296 citations Ali Hussein Hasan, Sana Moin et al. Mathematical and Computational Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sana Moin Pakistan	5	271	225	105	87	74	7	507
Álvaro Tejeda-Lorente Spain	11	256 0.9×	338 1.5×	69 0.7×	81 0.9×	108 1.5×	22	569
Bharat Bhasker India	10	191 0.7×	240 1.1×	68 0.6×	87 1.0×	53 0.7×	40	464
Ahmad Baraani-Dastjerdi Iran	13	256 0.9×	168 0.7×	89 0.8×	75 0.9×	68 0.9×	52	544
Juan Bernabé-Moreno Spain	12	226 0.8×	222 1.0×	40 0.4×	66 0.8×	69 0.9×	31	469
Shan Huang United States	14	247 0.9×	146 0.6×	116 1.1×	136 1.6×	25 0.3×	40	557
Francisco P. Romero Spain	12	493 1.8×	307 1.4×	52 0.5×	136 1.6×	103 1.4×	42	769
Ahmad A. Kardan Iran	13	296 1.1×	348 1.5×	61 0.6×	64 0.7×	67 0.9×	46	678
Rehan Akbar Malaysia	11	191 0.7×	227 1.0×	112 1.1×	35 0.4×	40 0.5×	59	567
Corinna Breitinger Germany	12	509 1.9×	526 2.3×	67 0.6×	74 0.9×	79 1.1×	26	884
Wamberto Vasconcelos United Kingdom	16	533 2.0×	160 0.7×	126 1.2×	125 1.4×	117 1.6×	84	706

Countries citing papers authored by Sana Moin

Since Specialization

Citations

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

Fields of papers citing papers by Sana Moin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sana Moin

This figure shows the co-authorship network connecting the top 25 collaborators of Sana Moin. A scholar is included among the top collaborators of Sana Moin 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 Sana Moin. Sana Moin 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.

Saqlain, Muhammad, et al.. (2020). Single and Multi-valued Neutrosophic Hypersoft set and Tangent Similarity Measure of Single valued Neutrosophic Hypersoft Sets. SHILAP Revista de lepidopterología. 43 indexed citations

2.

Saqlain, Muhammad, et al.. (2020). Aggregate Operators of Neutrosophic Hypersoft Set. SHILAP Revista de lepidopterología. 32(1). 294–306. 9 indexed citations

3.

Moin, Sana, et al.. (2019). Securing IoTs in distributed blockchain: Analysis, requirements and open issues. Future Generation Computer Systems. 100. 325–343. 150 indexed citations

4.

Moin, Sana, et al.. (2019). DE-IDENTIFICATION OF PROTECTED HEALTH INFORMATION PHI FROM FREE TEXT IN MEDICAL RECORDS. Data Archiving and Networked Services (DANS). 8(2). 1–11. 1 indexed citations

5.

Hasan, Ali Hussein, Sana Moin, Ahmad Karim, & Shahaboddin Shamshirband. (2018). Machine Learning-Based Sentiment Analysis for Twitter Accounts. Mathematical and Computational Applications. 23(1). 11–11. 296 indexed citations breakdown →

6.

Moin, Sana, et al.. (2018). GREEN SDN — An enhanced paradigm of SDN: Review, taxonomy, and future directions. Concurrency and Computation Practice and Experience. 32(21). 7 indexed citations

7.

Moin, Sana, et al.. (2015). Isolation of bacterial species capable of hydrolyzi ng pectin. 1 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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