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Journal Selection & Submission →Indexing of A machine learning approach to malicious JavaScript detection using fixed
| List | Status |
|---|---|
| Science Citation Index Expanded (SCIE) | Not found |
| Social Sciences Citation Index (SSCI) | Not found |
| Arts & Humanities Citation Index (AHCI) | Not found |
| Emerging Sources Citation Index (ESCI) | Not found |
| Scopus | Not found |
| Journal Citation Reports 2024 | Not found |
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. ScholarsColab does not show impact factors or quartiles, which are licensed; see how JCR and CiteScore quartiles work.
What A machine learning approach to malicious JavaScript detection using fixed publishes: real papers
Papers by ScholarsColab mentors in A machine learning approach to malicious JavaScript detection using fixed
- S. Ndichu, S. Ozawa, T. Misu, K. Okada
S. Ndichu
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How it works: no AI or language model is used. Your words are matched against the titles of real published papers by our mentors; journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
Frequently asked questions
Is A machine learning approach to malicious JavaScript detection using fixed indexed in Scopus?
A machine learning approach to malicious JavaScript detection using fixed was not found in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is A machine learning approach to malicious JavaScript detection using fixed an SCIE journal?
A machine learning approach to malicious JavaScript detection using fixed was not found in SCIE or the other Web of Science indexes, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is A machine learning approach to malicious JavaScript detection using fixed in Journal Citation Reports (JCR)?
A machine learning approach to malicious JavaScript detection using fixed was not found in the JCR 2024 list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Have ScholarsColab mentors published in A machine learning approach to malicious JavaScript detection using fixed ?
Yes. 1 paper by 1 mentor was published in A machine learning approach to malicious JavaScript detection using fixed in 2018, with 2 citations in total.
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